Article
Clinical Neurology
Matthias Grothe, Katharina Jochem, Sebastian Strauss, Soenke Langner, Michael Kirsch, Kai Hoffeld, Iris Katharina Penner, Guy Nagels, Kai Klepzig, Martin Domin, Martin Lotze
Summary: The study found that the structural integrity of frontoparietal white matter tracts is associated with processing speed in MS patients, with frontoparietal tracts playing a crucial role in information processing speed. Additionally, disease disability and total white matter volume were the main factors associated with processing speed.
FRONTIERS IN NEUROLOGY
(2022)
Article
Neurosciences
Jing Du, Forrest C. Koch, Aihua Xia, Jiyang Jiang, John D. Crawford, Ben C. P. Lam, Anbupalam Thalamuthu, Teresa Lee, Nicole Kochan, Chloe Fawns-Ritchie, Henry Brodaty, Qun Xu, Perminder S. Sachdev, Wei Wen
Summary: DWI was used to develop a new measure called DDF for estimating white matter integrity and investigating ageing related cognitive decline. DDF was found to be associated with age and cognition, and had higher sensitivity in distinguishing CSVD patients from NC compared to other DWI measures. Regional DDF also showed significant correlation with age and cognition, demonstrating its flexibility in monitoring white matter microstructural changes.
Article
Clinical Neurology
Letizia Squarcina, Susanna Lucini Paioni, Marcella Bellani, Maria Gloria Rossetti, Josselin Houenou, Mircea Polosan, Mary L. Phillips, Michele Wessa, Paolo Brambilla
Summary: In this study, the state of white matter structures in bipolar disorder patients was investigated using TBSS and FD analyses. The results showed diffusion abnormalities primarily located in the temporo-parietal network, while no significant differences were found in the morphological complexity of white matter structures. Individual patients showed localized significant deviations in fractal dimension values.
JOURNAL OF AFFECTIVE DISORDERS
(2024)
Review
Oncology
Aiman Abdul Manan, Noorazrul Azmie Yahya, Nur Hartini Mohd Taib, Zamzuri Idris, Hanani Abdul Manan
Summary: Diffusion tensor imaging is a non-invasive neuroimaging tool used to visualize the white matter tract of the brain. This study aims to assess the characteristics and criteria of white matter tract microstructure integrity changes in brain tumor patients.
Article
Clinical Neurology
Juho Dahl, Olli Tenovuo, Jussi P. Posti, Jussi Hirvonen, Ari J. Katila, Janek Frantzen, Henna-Riikka Maanpaa, Riikka Takala, Eliisa Loyttyniemi, Jussi Tallus, Virginia Newcombe, David K. Menon, Peter J. Hutchinson, Mehrbod Mohammadian
Summary: Cerebral microbleeds are associated with the clinical severity of traumatic brain injury but have a weaker association with white matter integrity.
FRONTIERS IN NEUROLOGY
(2022)
Article
Immunology
Kalen J. Petersen, Jeremy Strain, Sarah Cooley, Florin Vaida, Beau M. Ances
Summary: Older persons with HIV may experience changes in brain white matter similar to accelerated aging, with viral load and comorbidities playing a role in this process. These changes in white matter can contribute to cognitive impairment.
JOURNAL OF INFECTIOUS DISEASES
(2022)
Article
Critical Care Medicine
Sara M. Lippa, Ping-Hong Yeh, John Ollinger, Tracey A. Brickell, Louis M. French, Rael T. Lange
Summary: The extant literature on the relationship between diffusion tensor imaging (DTI) and cognition following traumatic brain injury (TBI) is limited by small sample sizes and inappropriate control groups. This study examined DTI metric differences between different TBI groups and found a dose-response relationship between TBI severity and the strength of the relationship between white matter integrity and cognitive performance. Unlike previous findings, this study did not find any differences in DTI metrics between controls, mild TBI, and complicated TBI.
JOURNAL OF NEUROTRAUMA
(2023)
Article
Neurosciences
Yuchao Jiang, Mingjun Duan, Xiangkui Li, Huan Huang, Guocheng Zhao, Xuan Li, Shicai Li, Xufeng Song, Hui He, Dezhong Yao, Cheng Luo
Summary: This study reveals a reversed pattern of structure and function in frontotemporal tracts in schizophrenia, with negative associations between structural deficits and functional disturbances in patients, exacerbated by long illness duration and severe negative symptoms. Additionally, white matter activations are significantly related to cognition and emotion.
HUMAN BRAIN MAPPING
(2021)
Article
Clinical Neurology
Chaoyang Zhang, Huan Yu, Yan Cai, Ning Wu, Shuang Liang, Chun Zhang, Zhiyu Duan, Zhou Zhang, Guangyan Cai
Summary: Neurological damage is commonly observed in individuals with chronic kidney disease (CKD), and this is associated with microstructural damage to the brain white matter and cognitive dysfunction. This study aimed to investigate the correlation between cognitive impairment and diffusion parameters obtained from diffusion tensor imaging (DTI) of abnormal white matter tracts in CKD patients. The results showed extensive white matter microstructural changes and impaired cognitive function in CKD patients, with worse cognitive function and more severe microstructural damage in dialysis-dependent CKD patients compared to non-dialysis-dependent CKD patients.
FRONTIERS IN NEUROLOGY
(2022)
Article
Medicine, General & Internal
Min-Hee Lee, Seung Ku Lee, Soriul Kim, Regina E. Y. Kim, Hye Ryeong Nam, Ali T. Siddiquee, Robert J. Thomas, Inha Hwang, Jee-Eun Yoon, Chang-Ho Yun, Chol Shin
Summary: This study aimed to examine the associations of obstructive sleep apnea (OSA) with cognition and white matter (WM) integrity. The findings showed that dynamic changes in OSA status were significantly associated with WM integrity and cognition, and these associations varied by age and sex.
Article
Geriatrics & Gerontology
Debra A. Fleischman, Konstantinos Arfanakis, Sue E. Leurgans, Shengwei Zhang, Melissa Lamar, S. Duke Han, Victoria N. Poole, Namhee Kim, David A. Bennett, Lisa L. Barnes
Summary: This study examined the association between late-life depressive symptoms and white matter structural integrity in 297 older Black participants without dementia. The results showed that higher levels of depressive symptoms were associated with reduced white matter integrity in specific brain regions.
FRONTIERS IN AGING NEUROSCIENCE
(2023)
Article
Medicine, General & Internal
Jing Jing, Yijun Zhou, Yuesong Pan, Xueli Cai, Wanlin Zhu, Zhe Zhang, Zixiao Li, Chang Liu, Xia Meng, Jian Cheng, Yilong Wang, Hao Li, Zhenzhou Wu, Suying Wang, Haijun Niu, Wei Wen, Tao Liu, Tiemin Wei, Yongjun Wang, Perminder S. Sachdev
Summary: This study investigated the white matter integrity in prediabetes and diabetes and found that microstructural abnormalities in white matter are already present in the prediabetes stage with impaired fasting glucose/ impaired glucose tolerance and are associated with higher glucose measures.
Article
Nutrition & Dietetics
Lisa M. Hortensius, Els Janson, Pauline E. van Beek, Floris Groenendaal, Nathalie H. P. Claessens, Henriette F. N. Swanenburg de Veye, Maria J. C. Eijsermans, Corine Koopman-Esseboom, Jeroen Dudink, Ruurd M. van Elburg, Manon J. N. L. Benders, Maria Luisa Tataranno, Niek E. van der Aa
Summary: The study found that higher postnatal protein intake is important for white matter development in extremely preterm born infants, but may not necessarily improve long-term cognitive and motor development. While higher protein intake was associated with higher white matter integrity, it was also linked to lower motor scores at 2 years corrected age. However, these differences were not sustained at 5.9 years.
Article
Neurosciences
Jing Chen, Anyan Ge, Ying Zhou, Yuanyuan Ma, Shaoping Zhong, Caizhong Chen, Weibin Shi, Jing Ding, Xin Wang
Summary: The study examined the relationships between cognitive function and white matter hyperintensity volume (WMHV) in patients with silent cerebrovascular disease, and found that impaired white matter integrity mediates the impact of WMHV on cognitive function. The findings suggest the importance of white matter integrity in cognitive rehabilitation strategies for patients with silent cerebrovascular diseases.
CNS NEUROSCIENCE & THERAPEUTICS
(2023)
Article
Neurosciences
David K. Wright, Georgia F. Symons, William T. O'Brien, Stuart J. McDonald, Akram Zamani, Brendan Major, Zhibin Chen, Daniel Costello, Rhys D. Brady, Mujun Sun, Meng Law, Terence J. O'Brien, Richelle Mychasiuk, Sandy R. Shultz
Summary: The preliminary study showed that male athletes with SRC reported more severe symptoms compared to female athletes. dMRI revealed white matter differences between SRC athletes and non-concussed athletes at 48 hours post-injury, which persisted at 2 weeks post-injury. Furthermore, male SRC athletes exhibited significantly greater white matter disruption than female SRC athletes. These findings have implications for concussion management, including return-to-play decisions, and enhance our understanding of the role of sex in SRC outcomes.
Review
Neurosciences
Odile A. van den Heuvel, Premika S. W. Boedhoe, Sara Bertolin, Willem B. Bruin, Clyde Francks, Iliyan Ivanov, Neda Jahanshad, Xiang-Zhen Kong, Jun S. Kwon, Joseph O'Neill, Tomas Paus, Yash Patel, Fabrizio Piras, Lianne Schmaal, Carles Soriano-Mas, Gianfranco Spalletta, Guido A. van Wingen, Je-Yeon Yun, Chris Vriend, H. Blair Simpson, Daan van Rooij, Marcelo Q. Hoexter, Martine Hoogman, Jan K. Buitelaar, Paul Arnold, Jan C. Beucke, Francesco Benedetti, Irene Bollettini, Anushree Bose, Brian P. Brennan, Alessander S. De Nadai, Kate Fitzgerald, Patricia Gruner, Edna Gruenblatt, Yoshiyuki Hirano, Chaim Huyser, Anthony James, Kathrin Koch, Gerd Kvale, Luisa Lazaro, Christine Lochner, Rachel Marsh, David Mataix-Cols, Pedro Morgado, Takashi Nakamae, Tomohiro Nakao, Janardhanan C. Narayanaswamy, Erika Nurmi, Christopher Pittenger, Y. C. Janardhan Reddy, Joao R. Sato, Noam Soreni, S. Evelyn Stewart, Stephan F. Taylor, David Tolin, Sophia I. Thomopoulos, Dick J. Veltman, Ganesan Venkatasubramanian, Susanne Walitza, Zhen Wang, Paul M. Thompson, Dan J. Stein
Summary: Neuroimaging has significantly advanced our understanding of OCD's neurobiology, with ENIGMA consortium's collaborative efforts enhancing statistical power. Their work involves samples from multiple countries and regions, utilizing machine learning techniques for research, contributing to the development of neurobiological models of OCD and global scientific collaboration.
HUMAN BRAIN MAPPING
(2022)
Review
Neurosciences
Sook-Lei Liew, Artemis Zavaliangos-Petropulu, Neda Jahanshad, Catherine E. Lang, Kathryn S. Hayward, Keith R. Lohse, Julia M. Juliano, Francesca Assogna, Lee A. Baugh, Anup K. Bhattacharya, Bavrina Bigjahan, Michael R. Borich, Lara A. Boyd, Amy Brodtmann, Cathrin M. Buetefisch, Winston D. Byblow, Jessica M. Cassidy, Adriana B. Conforto, R. Cameron Craddock, Michael A. Dimyan, Adrienne N. Dula, Elsa Ermer, Mark R. Etherton, Kelene A. Fercho, Chris M. Gregory, Shahram Hadidchi, Jess A. Holguin, Darryl H. Hwang, Simon Jung, Steven A. Kautz, Mohamed Salah Khlif, Nima Khoshab, Bokkyu Kim, Hosung Kim, Amy Kuceyeski, Martin Lotze, Bradley J. MacIntosh, John L. Margetis, Feroze B. Mohamed, Fabrizio Piras, Ander Ramos-Murguialday, Genevieve Richard, Pamela Roberts, Andrew D. Robertson, Jane M. Rondina, Natalia S. Rost, Nerses Sanossian, Nicolas Schweighofer, Na Jin Seo, Mark S. Shiroishi, Surjo R. Soekadar, Gianfranco Spalletta, Cathy M. Stinear, Anisha Suri, Wai Kwong W. Tang, Gregory T. Thielman, Daniela Vecchio, Arno Villringer, Nick S. Ward, Emilio Werden, Lars T. Westlye, Carolee Winstein, George F. Wittenberg, Kristin A. Wong, Chunshui Yu, Steven C. Cramer, Paul M. Thompson
Summary: The ENIGMA Stroke Recovery working group aims to understand the relationship between brain and behavior using meta- and mega-analytic approaches. They have developed neuroinformatics protocols and methods to manage large-scale data from over 2,100 stroke patients. The challenges and recommendations for data harmonization in stroke research are discussed.
HUMAN BRAIN MAPPING
(2022)
Article
Neurosciences
Rachel A. Rabin, Scott Mackey, Muhammad A. Parvaz, Janna Cousijn, Chiang-shan Li, Godfrey Pearlson, Lianne Schmaal, Rajita Sinha, Elliot Stein, Dick Veltman, Paul M. Thompson, Patricia Conrod, Hugh Garavan, Nelly Alia-Klein, Rita Z. Goldstein
Summary: This study investigates the impact of gender on gray matter volume (GMV) in cocaine-dependent individuals (CD) compared to controls. The results suggest gender differences in certain brain areas, and the diagnosis differences are predominantly found in frontal regions. These findings may shed light on the gender-specific mechanisms in cocaine addiction.
HUMAN BRAIN MAPPING
(2022)
Article
Neurosciences
Sonja M. C. de Zwarte, Rachel M. Brouwer, Ingrid Agartz, Martin Alda, Silvia Alonso-Lana, Carrie E. Bearden, Alessandro Bertolino, Aurora Bonvino, Elvira Bramon, Elizabeth E. L. Buimer, Wiepke Cahn, Erick J. Canales-Rodriguez, Dara M. Cannon, Tyrone D. Cannon, Xavier Caseras, Josefina Castro-Fornieles, Qiang Chen, Yoonho Chung, Elena de la Serna, Caterina del Mar Bonnin, Caroline Demro, Annabella Di Giorgio, Gaelle E. Doucet, Mehmet Cagdas Eker, Susanne Erk, Mar Fatjo-Vilas, Scott C. Fears, Sonya F. Foley, Sophia Frangou, Janice M. Fullerton, David C. Glahn, Vina M. Goghari, Jose M. Goikolea, Aaron L. Goldman, Ali Saffet Gonul, Oliver Gruber, Tomas Hajek, Emma L. Hawkins, Andreas Heinz, Ceren Hidiroglu Ongun, Manon H. J. Hillegers, Josselin Houenou, Hilleke E. Hulshoff Pol, Christina M. Hultman, Martin Ingvar, Viktoria Johansson, Erik G. Jonsson, Fergus Kane, Matthew J. Kempton, Marinka M. G. Koenis, Miloslav Kopecek, Bernd Kraemer, Stephen M. Lawrie, Rhoshel K. Lenroot, Machteld Marcelis, Venkata S. Mattay, Colm McDonald, Andreas Meyer-Lindenberg, Stijn Michielse, Philip B. Mitchell, Dolores Moreno, Robin M. Murray, Benson Mwangi, Leila Nabulsi, Jason Newport, Cheryl A. Olman, Jim van Os, Bronwyn J. Overs, Aysegul Ozerdem, Giulio Pergola, Marco M. Picchioni, Camille Piguet, Edith Pomarol-Clotet, Joaquim Radua, Ian S. Ramsay, Anja Richter, Gloria Roberts, Raymond Salvador, Aybala Saricicek Aydogan, Salvador Sarro, Peter R. Schofield, Esma M. Simsek, Fatma Simsek, Jair C. Soares, Scott R. Sponheim, Gisela Sugranyes, Timothea Toulopoulou, Giulia Tronchin, Eduard Vieta, Henrik Walter, Daniel R. Weinberger, Heather C. Whalley, Mon-Ju Wu, Nefize Yalin, Ole A. Andreassen, Christopher R. K. Ching, Sophia I. Thomopoulos, Theo G. M. van Erp, Neda Jahanshad, Paul M. Thompson, Rene S. Kahn, Neeltje E. M. van Haren
Summary: First-degree relatives of patients diagnosed with schizophrenia show widespread thinner cortex, while relatives of patients diagnosed with bipolar disorder show widespread larger cortical surface area. Both groups have lower IQ scores compared to controls, with schizophrenia relatives showing more pronounced brain abnormalities and bipolar disorder relatives showing weaker effects after adjusting for IQ or educational attainment.
HUMAN BRAIN MAPPING
(2022)
Article
Neurosciences
Lara M. Wierenga, Gaelle E. Doucet, Danai Dima, Ingrid Agartz, Moji Aghajani, Theophilus N. Akudjedu, Anton Albajes-Eizagirre, Dag Alnaes, Kathryn Alpert, Ole A. Andreassen, Alan Anticevic, Philip Asherson, Tobias Banaschewski, Nuria Bargallo, Sarah Baumeister, Ramona Baur-Streubel, Alessandro Bertolino, Aurora Bonvino, Dorret Boomsma, Stefan Borgwardt, Josiane Bourque, Anouk den Braber, Daniel Brandeis, Alan Breier, Henry Brodaty, Rachel M. Brouwer, Jan K. Buitelaar, Geraldo F. Busatto, Vince D. Calhoun, Erick J. Canales-Rodriguez, Dara M. Cannon, Xavier Caseras, Francisco X. Castellanos, Tiffany M. Chaim-Avancini, Christopher R. K. Ching, Vincent P. Clark, Patricia J. Conrod, Annette Conzelmann, Fabrice Crivello, Christopher G. Davey, Erin W. Dickie, Stefan Ehrlich, Dennis Van't Ent, Simon E. Fisher, Jean-Paul Fouche, Barbara Franke, Paola Fuentes-Claramonte, Eco J. C. de Geus, Annabella Di Giorgio, David C. Glahn, Ian H. Gotlib, Hans J. Grabe, Oliver Gruber, Patricia Gruner, Raquel E. Gur, Ruben C. Gur, Tiril P. Gurholt, Lieuwe de Haan, Beathe Haatveit, Ben J. Harrison, Catharina A. Hartman, Sean N. Hatton, Dirk J. Heslenfeld, Odile A. van den Heuvel, Ian B. Hickie, Pieter J. Hoekstra, Sarah Hohmann, Avram J. Holmes, Martine Hoogman, Norbert Hosten, Fleur M. Howells, Hilleke E. Hulshoff Pol, Chaim Huyser, Neda Jahanshad, Anthony C. James, Jiyang Jiang, Erik G. Jonsson, John A. Joska, Andrew J. Kalnin, Marieke Klein, Laura Koenders, Knut K. Kolskar, Bernd Kramer, Jonna Kuntsi, Jim Lagopoulos, Luisa Lazaro, Irina S. Lebedeva, Phil H. Lee, Christine Lochner, Marise W. J. Machielsen, Sophie Maingault, Nicholas G. Martin, Ignacio Martinez-Zalacain, David Mataix-Cols, Bernard Mazoyer, Brenna C. McDonald, Colm McDonald, Andrew M. McIntosh, Katie L. McMahon, Genevieve McPhilemy, Dennis van der Meer, Jose M. Menchon, Jilly Naaijen, Lars Nyberg, Jaap Oosterlaan, Yannis Paloyelis, Paul Pauli, Giulio Pergola, Edith Pomarol-Clotet, Maria J. Portella, Joaquim Radua, Andreas Reif, Genevieve Richard, Joshua L. Roffman, Pedro G. P. Rosa, Matthew D. Sacchet, Perminder S. Sachdev, Raymond Salvador, Salvador Sarro, Theodore D. Satterthwaite, Andrew J. Saykin, Mauricio H. Serpa, Kang Sim, Andrew Simmons, Jordan W. Smoller, Iris E. Sommer, Carles Soriano-Mas, Dan J. Stein, Lachlan T. Strike, Philip R. Szeszko, Henk S. Temmingh, Sophia Thomopoulos, Alexander S. Tomyshev, Julian N. Trollor, Anne Uhlmann, Ilya M. Veer, Dick J. Veltman, Aristotle Voineskos, Henry Volzke, Henrik Walter, Lei Wang, Yang Wang, Bernd Weber, Wei Wen, John D. West, Lars T. Westlye, Heather C. Whalley, Steven C. R. Williams, Katharina Wittfeld, Daniel H. Wolf, Margaret J. Wright, Yuliya N. Yoncheva, Marcus Zanetti, Georg C. Ziegler, Greig de Zubicaray, Paul M. Thompson, Eveline A. Crone, Sophia Frangou, Christian K. Tamnes
Summary: Males exhibit greater variability than females in many traits, which may have implications for understanding sex differences in health and disease. A mega-analysis of brain structure variability based on MRI data of 16,683 healthy individuals spanning nine decades of life reveals significant patterns of greater male than female between-subject variance in subcortical volumes, cortical surface area, and cortical thickness. These sex differences are present in childhood and may be influenced by early life genetic or gene-environment interaction mechanisms. The findings underscore the importance of individual differences within each sex, which may contribute to sex-specific vulnerability to disorders.
HUMAN BRAIN MAPPING
(2022)
Article
Neurosciences
Sage Hahn, Scott Mackey, Janna Cousijn, John J. Foxe, Andreas Heinz, Robert Hester, Kent Hutchinson, Falk Kiefer, Ozlem Korucuoglu, Tristram Lett, Chiang-Shan R. Li, Edythe London, Valentina Lorenzetti, Luijten Maartje, Reza Momenan, Catherine Orr, Martin Paulus, Lianne Schmaal, Rajita Sinha, Zsuzsika Sjoerds, Dan J. Stein, Elliot Stein, Ruth J. van Holst, Dick Veltman, Henrik Walter, Reinout W. Wiers, Murat Yucel, Paul M. Thompson, Patricia Conrod, Nicholas Allgaier, Hugh Garavan
Summary: By analyzing a large dataset of neuroimaging data from alcohol dependent individuals and healthy controls, researchers have identified potential neuroimaging biomarkers for alcohol dependence, including cortical thickness, cortical surface area, and brain volume in specific brain regions.
HUMAN BRAIN MAPPING
(2022)
Article
Neurosciences
Tiril P. Gurholt, Vera Lonning, Stener Nerland, Kjetil N. Jorgensen, Unn K. Haukvik, Clara Alloza, Celso Arango, Claudia Barth, Carrie E. Bearden, Michael Berk, Hannes Bohman, Orwa Dandash, Covadonga M. Diaz-Caneja, Carl T. Edbom, Theo G. M. van Erp, Anne-Kathrin J. Fett, Sophia Frangou, Benjamin I. Goldstein, Anahit Grigorian, Neda Jahanshad, Anthony C. James, Joost Janssen, Cecilie Johannessen, Katherine H. Karlsgodt, Matthew J. Kempton, Peter Kochunov, Lydia Krabbendam, Marinos Kyriakopoulos, Mathias Lundberg, Bradley J. MacIntosh, Bjorn Rishovd Rund, Runar E. Smelror, Alysha Sultan, Christian K. Tamnes, Sophia I. Thomopoulos, Ariana Vajdi, Kirsten Wedervang-Resell, Anne M. Myhre, Ole A. Andreassen, Paul M. Thompson, Ingrid Agartz
Summary: This study investigated the differences in intracranial and subcortical brain volumes between patients with early-onset psychosis and healthy controls. The findings showed that patients with early-onset psychosis had lower intracranial and hippocampal volumes, and higher caudate and pallidum volumes compared to controls. The study also found that patients currently treated with antipsychotic medication had significantly lower intracranial volume.
HUMAN BRAIN MAPPING
(2022)
Review
Neurosciences
Paul M. Thompson, Neda Jahanshad, Lianne Schmaal, Jessica A. Turner, Anderson M. Winkler, Sophia I. Thomopoulos, Gary F. Egan, Peter Kochunov
Summary: This article introduces a special issue commemorating the 10th anniversary of the ENIGMA Consortium, highlighting the progress and achievements of international neuroimaging projects over the past decade, as well as exploring the impact of genetics on human brain development and disease.
HUMAN BRAIN MAPPING
(2022)
Article
Computer Science, Interdisciplinary Applications
Jessica A. Turner, Vince D. Calhoun, Paul M. Thompson, Neda Jahanshad, Christopher R. K. Ching, Sophia Thomopoulos, Eric Verner, Gregory P. Strauss, Anthony O. Ahmed, Matthew D. Turner, Sunitha Basodi, Judith M. Ford, Daniel H. Mathalon, Adrian Preda, Aysenil Belger, Bryon A. Mueller, Kelvin O. Lim, Theo G. M. van Erp
Summary: The application of the FAIR principles to clinical and neuroimaging data aims to make research products findable, accessible, interoperable, and reusable. ENIGMA and COINSTAC platforms combine technological approaches with sociological approaches to facilitate the use of machine-actionable data objects. Current efforts focus on improving access, interoperability, and reusability, with future plans to enhance findability and further connections to other resources.
Article
Neurosciences
Lea Waller, Susanne Erk, Elena Pozzi, Yara J. Toenders, Courtney C. Haswell, Marc Buettner, Paul M. Thompson, Lianne Schmaal, Rajendra A. Morey, Henrik Walter, Ilya M. Veer
Summary: HALFpipe is an open-source, user-friendly tool developed within the ENIGMA consortium, aiming to facilitate reproducible analysis of task-based and resting-state fMRI data through uniform preprocessing, quality assessment, feature extraction, and group-level statistics. It provides state-of-the-art preprocessing and extends fMRIPrep functionality with additional steps, along with generating interactive quality assessment webpages and numerous post-processing functions for individual subject analysis.
HUMAN BRAIN MAPPING
(2022)
Article
Computer Science, Artificial Intelligence
Dimitris Stripelis, Paul M. Thompson, Jose Luis Ambite
Summary: Federated Learning is a promising machine learning method for sharing data in a distributed environment without actually sharing the data. However, in heterogeneous environments, existing approaches show poor performance. This study introduces an energy-efficient Semi-Synchronous Federated Learning protocol that achieves fast convergence and minimal idle time by mixing local models.
ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY
(2022)
Article
Multidisciplinary Sciences
Allison C. Barnes, Fausto Rodriguez-Zapata, Karla A. Juarez-Nunez, Daniel J. Gates, Garrett M. Janzen, Andi Kur, Li Wang, Sarah E. Jensen, Juan M. Estevez-Palmas, Taylor M. Crow, Heli S. Kavi, Hannah D. Pil, Ruthie L. Stokes, Kevan T. Knizner, Maria R. Aguilar-Rangel, Edgar Demesa-Arevalo, Tara Skopelitis, Sergio Perez-Limon, Whitney L. Stutts, Peter Thompson, Yu-Chun Chiu, David Jackson, David C. Muddiman, Oliver Fiehn, Daniel Runcie, Edward S. Buckler, Jeffrey Ross-Ibarra, Matthew B. Hufford, Ruairidh J. H. Sawers, Ruben Rellan-Alvarez
Summary: This study reveals that the HPC1 gene in highland maize, derived from wild highland teosinte, plays a major role in phospholipid variation and adaptation, particularly in flowering time.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2022)
Article
Neurosciences
Elizabeth Haddad, Fabrizio Pizzagalli, Alyssa H. Zhu, Ravi R. Bhatt, Tasfiya Islam, Iyad Ba Gari, Daniel Dixon, Sophia I. Thomopoulos, Paul M. Thompson, Neda Jahanshad
Summary: Automatic neuroimaging processing tools provide convenient and systematic methods for extracting features from brain magnetic resonance imaging scans. In this study, the reliability and compatibility of regional morphometric metrics derived from different versions of FreeSurfer were empirically assessed using test-retest data. The results showed lower compatibility between the latest version and older versions in terms of cortical thickness, surface area, and subcortical volumes. Replication studies in an independent sample confirmed these findings. The study highlights the importance of considering version-related inconsistencies in published findings.
HUMAN BRAIN MAPPING
(2023)
Article
Computer Science, Artificial Intelligence
Haoteng Tang, Lei Guo, Xiyao Fu, Yalin Wang, Scott Mackin, Olusola Ajilore, Alex D. Leow, Paul M. Thompson, Heng Huang, Liang Zhan
Summary: MRI-derived brain networks are widely used to understand interactions among brain regions and their relationships with brain development and diseases. Graph mining on these networks can help discover biomarkers for clinical phenotypes and neurodegenerative diseases. Most current studies focus on projecting structural networks onto functional networks to extract a fused representation.
MEDICAL IMAGE ANALYSIS
(2023)
Article
Multidisciplinary Sciences
Chenzhong Yin, Phoebe Imms, Mingxi Cheng, Anar Amgalan, Nahian F. Chowdhury, Roy J. Massett, Nikhil N. Chaudhari, Xinghe Chen, Paul M. Thompson, Paul Bogdan, Andrei Irimia
Summary: This study introduces a convolutional neural network (CNN) to estimate brain age (BA) from magnetic resonance images (MRIs) and achieves lower estimation errors compared to previous studies. The CNN provides detailed brain aging maps that reveal sex differences and neurocognitive trajectories in individuals with mild cognitive impairment (MCI) and Alzheimer's disease (AD). BA is shown to capture dementia symptom severity, functional disability, and executive function better than chronological age (CA) in individuals with MCI. The proposed framework can systematically map the relationship between aging-related neuroanatomy changes and neurocognitive measures in both cognitively normal individuals and those with MCI or AD, aiding in early identification of AD risk.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2023)