Article
Medicine, General & Internal
Hailong Li, Zhiyuan Li, Kevin Du, Yu Zhu, Nehal A. Parikh, Lili He
Summary: Approximately 32-42% of very preterm infants develop minor motor abnormalities. In this study, a semi-supervised graph convolutional network (GCN) model was developed to learn neuroimaging features and consider pairwise similarity. The model also incorporated labeled and unlabeled data for training.
Article
Neuroimaging
Rahul Chandwani, Karen Harpster, Julia E. Kline, Ved Mehta, Hui Wang, Stephanie L. Merhar, Terry L. Schwartz, Nehal A. Parikh
Summary: This study found that early visual-behavioral difficulties in very preterm infants are associated with micro and macrostructural abnormalities in several major visual pathways at term-equivalent age.
NEUROIMAGE-CLINICAL
(2022)
Article
Neurosciences
Alex M. Pagnozzi, Liza van Eijk, Kerstin Pannek, Roslyn N. Boyd, Susmita Saha, Joanne George, Samudragupta Bora, DanaKai Bradford, Michael Fahey, Michael Ditchfield, Atul Malhotra, Helen Liley, Paul B. Colditz, Stephen Rose, Jurgen Fripp
Summary: Infants born very preterm face neurodevelopmental challenges and early identification through clinical assessment and MRI can enable targeted interventions. This study used a prospective cohort of preterm infants and identified early MRI biomarkers for neurodevelopmental outcomes using advanced imaging techniques. The results demonstrated the utility of MRI prior to term equivalent age for predicting outcomes and initiating early interventions.
Article
Behavioral Sciences
Hilary Toulmin, Jonathan O'Muircheartaigh, Serena J. Counsell, Shona Falconer, Andrew Chew, Christian F. Beckmann, A. David Edwards
Summary: Preterm infants are at high risk of long-term motor and neurocognitive deficits. Structural MRI at birth does not accurately predict outcomes, suggesting the importance of thalamocortical connections in neurocognitive development during the perinatal period.
Article
Neuroimaging
Julia E. Kline, Venkata Sita Priyanka Illapani, Hailong Li, Lili He, Weihong Yuan, Nehal A. Parikh
Summary: Research has shown that very preterm infants exhibit diffuse white matter abnormality (DWMA) on T2-weighted MRI at term, and this is associated with decreased brain network efficiency, potentially impacting cognitive, linguistic, and motor function.
NEUROIMAGE-CLINICAL
(2021)
Article
Medicine, General & Internal
Amanda K-L Kwong, Roslyn N. Boyd, Mark D. Chatfield, Robert S. Ware, Paul B. Colditz, Joanne M. George
Summary: This study examines the relationship between Motor Optimality Score, revised (MOS-R) and neurodevelopmental outcomes in very preterm infants at 2 years of age and demonstrates the predictive validity of MOS-R for motor and neurosensory motor impairment.
JOURNAL OF CLINICAL MEDICINE
(2022)
Article
Computer Science, Interdisciplinary Applications
Ian Zuzarte, Dagmar Sternad, David Paydarfar
Summary: This study developed an algorithm using machine learning methods to predict ABH events in preterm neonates. Results showed that including movement features significantly improved the predictions, providing important information for preemptive interventions aimed at reducing the incidence and severity of ABH events.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2021)
Article
Neurosciences
Lili He, Hailong Li, Ming Chen, Jinghua Wang, Mekibib Altaye, Jonathan R. Dillman, Nehal A. Parikh
Summary: This study explores the predictive power of multimodal MRI data and clinical data in predicting neurodevelopmental deficits in preterm infants, finding that integrating these data improves prediction accuracy. Novel end-to-end deep multimodal models were proposed to predict cognitive, language, and motor deficits at 2 years corrected age, showing significantly better accuracy compared to individual data modalities.
FRONTIERS IN NEUROSCIENCE
(2021)
Article
Neurosciences
Mingyan Li, Chai Ji, Weifeng Xuan, Weijun Chen, Ying Lv, Tingting Liu, Yuqing You, Fusheng Gao, Quan Zheng, Jie Shao
Summary: The iron status of preterm infants is associated with motor development and brain structural connectivity. Iron supplementation can improve this relationship. There is a positive correlation between brain structural connectivity and motor development.
FRONTIERS IN NEUROSCIENCE
(2021)
Article
Nutrition & Dietetics
Yung-Chieh Lin, Chen-Yueh Wang, Yu-Wen Pan, Yen-Ju Chen, Wen-Hao Yu, Yen-Yin Chou, Chi-Hsien Huang, Wei-Ying Chu, Chyi-Her Lin, Osuke Iwata
Summary: The study investigated the correlation between low thyroxine levels and long-term neurodevelopmental impairment (NDI) in very preterm infants with normal TSH levels. Despite evaluating the postnatal TT4 concentration at 1 month, the study found that attributing NDI to a single TT4 measurement may require further research for TSH-normal very preterm infants.
Article
Pediatrics
Min Sheng, Ting Guo, Connor Mabbott, Vann Chau, Anne Synnes, Linda S. de Vries, Ruth E. Grunau, Steven P. Miller
Summary: This study evaluated the relationship between ventricular volume and neurodevelopmental outcomes in children born very preterm. The results showed that ventricular size at birth was associated with cognitive and motor outcomes at 4.5 years, suggesting abnormal white matter maturation in the setting of enlarged ventricular size.
JOURNAL OF PEDIATRICS
(2022)
Article
Psychology, Developmental
Joana Sa de Almeida, Olivier Baud, Sebastien Fau, Francisca Barcos-Munoz, Sebastien Courvoisier, Lara Lordier, Francois Lazeyras, Petra S. Huppi
Summary: Preterm birth can disrupt neurodevelopment, but music therapy can enhance brain maturation in preterm infants. A study found that music intervention led to positive changes in brain structure, particularly in regions important for socio-emotional development.
DEVELOPMENTAL COGNITIVE NEUROSCIENCE
(2023)
Article
Clinical Neurology
Xi Chen, Xiaoli Zhang, Wenhua Li, Wendong Li, Yong Wang, Shan Zhang, Changlian Zhu
Summary: Preterm births with different etiologies are associated with varying neonatal complications, but no differences in neurodevelopmental outcomes were observed at 12 months of corrected age.
FRONTIERS IN NEUROLOGY
(2021)
Article
Obstetrics & Gynecology
P. E. van Beek, F. Groenendaal, W. Onland, S. Koole, P. H. Dijk, K. P. Dijkman, Fam van den Dungen, Afj van Heijst, R. F. Kornelisse, Faba Schuerman, E. Van Westering-Kroon, R. S. G. M. Witlox, P. Andriessen, E. Schuit
Summary: This study validated a high-quality prognostic model for predicting survival in very preterm infants in a Dutch neonatal cohort, demonstrating good external validity across different populations.
BJOG-AN INTERNATIONAL JOURNAL OF OBSTETRICS AND GYNAECOLOGY
(2022)
Article
Computer Science, Information Systems
Ahmad Chaddad, Camel Tanougast
Summary: Coronavirus disease 2019 (COVID-19), with the new variant, has increased the number of patients seeking treatment significantly, putting pressure on hospitals and healthcare systems. This study proposes a deep learning model based on convolutional neural networks (CNNs) to predict the survival outcome of COVID-19 patients by combining imaging and clinical features. The model demonstrates higher performance metrics compared to state-of-the-art models, and can be used as a prognostic tool to distinguish survival groups of COVID-19 patients.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Clinical Neurology
Jeryn Chang, Thomas B. Shaw, Cory J. Holdom, Pamela A. McCombe, Robert D. Henderson, Jurgen Fripp, Markus Barth, Christine C. Guo, Shyuan T. Ngo, Frederik J. Steyn
Summary: This study found that lower hypothalamic volume is associated with lower and higher BMI in ALS patients, unlike AD patients and controls. Hypothalamic volume is not related to loss of appetite or hypermetabolism. In ALS patients, lower hypothalamic volume with lower BMI is associated with weight loss and earlier death.
EUROPEAN JOURNAL OF NEUROLOGY
(2023)
Article
Neurosciences
Alex M. Pagnozzi, Liza van Eijk, Kerstin Pannek, Roslyn N. Boyd, Susmita Saha, Joanne George, Samudragupta Bora, DanaKai Bradford, Michael Fahey, Michael Ditchfield, Atul Malhotra, Helen Liley, Paul B. Colditz, Stephen Rose, Jurgen Fripp
Summary: Infants born very preterm face neurodevelopmental challenges and early identification through clinical assessment and MRI can enable targeted interventions. This study used a prospective cohort of preterm infants and identified early MRI biomarkers for neurodevelopmental outcomes using advanced imaging techniques. The results demonstrated the utility of MRI prior to term equivalent age for predicting outcomes and initiating early interventions.
Article
Pediatrics
Alex M. Pagnozzi, Kerstin Pannek, Jurgen Fripp, Simona Fiori, Roslyn N. Boyd, Stephen Rose
Summary: This study used a pathology-robust technique to extract quantitative structural information from brain MRI images and correlated it with motor, behavioral, visual, and communicative function in children with acquired brain injury. The results showed significant associations between brain structure and motor and cognitive function, as well as overall reductions in grey matter volume and cortical thinning in the ABI cohort. This suggests that MRI can estimate the long-term clinical prognosis of children with acquired brain injury.
PEDIATRICS AND NEONATOLOGY
(2023)
Article
Medicine, General & Internal
Natasha Krishnadas, Vincent Dore, Joanne S. Robertson, Larry Ward, Christopher Fowler, Colin L. Masters, Pierrick Bourgeat, Jurgen Fripp, Victor L. Villemagne, Christopher C. Rowe
Summary: Tau accumulation in Alzheimer's disease (AD) occurs slowly and varies according to brain region and disease stage, plateauing at high levels. The rate of accumulation is best measured in the mesial temporal lobe and inferior temporal cortex in preclinical AD, and in large neocortical areas in mild cognitive impairment (MCI) and AD.
Article
Clinical Neurology
Pierrick Bourgeat, N. Krishnadas, V. Dore, R. Mulligan, R. Tyrrell, S. Bozinovski, K. Huang, J. Fripp, V. L. Villemagne, C. C. Rowe, Alzheimers Dis Neuroimaging Initiat, A. I. B. L. Res Grp
Summary: By matching cases from the Australian Imaging, Biomarkers and Lifestyle (AIBL) and Alzheimer's Disease Neuroimaging Initiative (ADNI) longitudinal cohort studies, F-18-MK6240 and F-18-flortaucipir (FTP) tau PET tracers were compared for longitudinal changes. The results showed that F-18-MK6240 is more sensitive to tau level changes in the preclinical stage of Alzheimer's disease.
JPAD-JOURNAL OF PREVENTION OF ALZHEIMERS DISEASE
(2023)
Article
Clinical Neurology
Pierrick C. Bourgeat, Vincent Dore, Christopher Rowe, Tammie S. Benzinger, Duygu Tosun, Manu Goyal, Pamela W. LaMontagne, Liang L. Jin, Michael Weiner, Colin L. Masters, Jurgen Fripp, Victor Villemagne
Summary: This study developed a universal mask for quantification of amyloid beta positron emission tomography tracers. There was a high overlap between the tracer-specific masks. The existing standard Centiloid mask is suitable for quantification of all amyloid beta tracers.
ALZHEIMER'S & DEMENTIA: DIAGNOSIS, ASSESSMENT & DISEASE MONITORING
(2023)
Article
Clinical Neurology
Victor Villemagne, Antoine Leuzy, Sandra Sanabria Bohorquez, Santiago Bullich, Hitoshi C. Shimada, Christopher Rowe, Pierrick Bourgeat, Brian Lopresti, Kun Huang, Natasha Krishnadas, Jurgen Fripp, Yuhei Takado, Alexandra Gogola, Davneet Minhas, Robby Weimer, Makoto Higuchi, Andrew Stephens, Oskar Hansson, Vincent Dore
Summary: This study developed multiple cortical tau tracers and generated a universal scale for cortical tau imaging. This universal scale allows for standardized quantitative measures of tau across different tracers and centers.
ALZHEIMER'S & DEMENTIA: DIAGNOSIS, ASSESSMENT & DISEASE MONITORING
(2023)
Proceedings Paper
Computer Science, Artificial Intelligence
Joshua Peters, Leo Lebrat, Rodrigo Santa Cruz, Aaron Nicolson, Gregg Belous, Salamata Konate, Parnesh Raniga, Vincent Dore, Pierrick Bourgeat, Jurgen Mejan-Fripp, Clinton Fookes, Olivier Salvado
Summary: Deep learning models are powerful tools for medical imaging problems but interpreting their predictions can be difficult. In this paper, we propose DBCE, an explainability method that provides meaningful saliency maps for medical interpretations. We demonstrate its effectiveness in identifying disease-consistent atrophy patterns and show that it outperforms other saliency methods. Our method is also repeatable for different model initializations, which is an advantage over sensitivity-based methods.
2023 IEEE/CVF WINTER CONFERENCE ON APPLICATIONS OF COMPUTER VISION (WACV)
(2023)
Article
Clinical Neurology
A. Feizpour, V. Dore, J. D. Doecke, Z. S. Saad, G. Triana-Baltzer, R. Slemmon, P. Maruff, N. Krishnadas, P. Bourgeat, K. Huang, C. Fowler, S. R. Rainey-Smith, A. I. Bush, L. Ward, J. Robertson, R. N. Martins, C. L. Masters, V. L. Villemagne, J. Fripp, H. C. Kolb, Christopher C. Rowe
Summary: Plasma p217+tau can predict the rate of cognitive decline and has similar performance to PET Aβ and tau in predicting cognitive decline. Using p217+tau can significantly reduce the cost of clinical trials, especially in participant selection, compared to PET.
JPAD-JOURNAL OF PREVENTION OF ALZHEIMERS DISEASE
(2023)
Article
Medicine, General & Internal
Roslyn N. Boyd, Iona Novak, Catherine Morgan, Samudragupta Bora, Leanne Sakzewski, Robert S. Ware, Tracy Comans, Michael Collingwood Fahey, Koa Whittingham, Stewart Trost, Kerstin Pannek, Alex Pagnozzi, Sarah Mcintyre, Nadia Badawi, Hayley Smithers Sheedy, Kirsten Rebecca Palmer, Andrea Burgess, Afroz Keramat, Kristie Bell, Ashleigh Hines, Katherine Benfer, Laura Gascoigne-Pees, Shaneen Leishman, Stina Oftedal
Summary: This study aims to investigate the impact of early intervention on school readiness and cost-effectiveness in children with cerebral palsy (CP). Randomized trials and questionnaires will be used to compare the early intervention group with the usual care group, assessing school readiness and associated risk factors. The results will be disseminated in peer-reviewed journals, scientific conferences, and professional organizations.
Article
Clinical Neurology
Pierrick Bourgeat, Vincent Dore, Christopher C. Rowe, Tammie Benzinger, Duygu Tosun, Manu S. Goyal, Pamela Lamontagne, Liang Jin, Michael W. Weiner, Colin L. Masters, Jurgen Fripp, Victor L. Villemagne
Summary: This study developed a universal amyloid mask using a matched cohort for the five most commonly used amyloid PET tracers. Results showed that the universal mask led to a small improvement in inter-tracer agreement and group separation.
ALZHEIMER'S & DEMENTIA: DIAGNOSIS, ASSESSMENT & DISEASE MONITORING
(2023)
Article
Geriatrics & Gerontology
Ying Xia, Paul Maruff, Vincent Dore, Pierrick Bourgeat, Simon M. Laws, Christopher Fowler, Stephanie R. Rainey-Smith, Ralph N. Martins, Victor L. Villemagne, Christopher C. Rowe, Colin L. Masters, Elizabeth J. Coulson, Jurgen Fripp
Summary: Dysfunction of the cholinergic basal forebrain system and amyloid-beta deposition are early pathological features in Alzheimer's disease. This study found that Aβ is associated with volume loss in the BF and hippocampus, and the effect varies within BF subregions. The degeneration of BF subregions during early AD also shows distinctive characteristics.
NEUROBIOLOGY OF AGING
(2023)
Proceedings Paper
Computer Science, Artificial Intelligence
Leo Lebrat, Rodrigo Santa Cruz, Reuben Dorent, Javier Urriola Yaksic, Alex Pagnozzi, Gregg Belous, Pierrick Bourgeat, Jurgen Fripp, Clinton Fookes, Olivier Salvado
Summary: Recent advances in medical Deep Learning have significantly reduced the time required for extracting anatomical segmentations from 3-Dimensional images. However, existing methods heavily rely on image resolution and training dataset distribution. New approaches based on 3D geometric DL offer increased generalization performance and robustness.
2023 IEEE 20TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING, ISBI
(2023)
