Article
Clinical Neurology
Patrick H. Luckett, Luigi Maccotta, John J. Lee, Ki Yun Park, Nico U. F. Dosenbach, Beau M. Ances, Robert Edward Hogan, Joshua S. Shimony, Eric C. Leuthardt
Summary: Deep learning using resting state functional magnetic resonance imaging (RS-fMRI) can accurately identify the correct hemisphere of the seizure onset zone in temporal lobe epilepsy (TLE) patients, and can determine strong anatomical predictors of the seizure onset zone.
Article
Medicine, General & Internal
Charly Caredda, Laurent Mahieu-Williame, Raphael Sablong, Michael Sdika, Fabien C. Schneider, Jacques Guyotat, Bruno Montcel
Summary: RGB optical imaging is a valuable technique for monitoring hemodynamic brain responses and identifying resting-state networks intraoperatively. It shows strong correspondence with RGB task-based imaging and electrical brain stimulation. This technique has advantages over functional task-based analyses, with shorter data acquisition time, simpler operation, and lower requirements for patients unable to perform tasks.
Article
Neurosciences
Sara M. Motlaghian, Aysenil Belger, Juan R. Bustillo, Judith M. Ford, Armin Iraji, Kelvin Lim, Daniel H. Mathalon, Bryon A. Mueller, Daniel O'Leary, Godfrey Pearlson, Steven G. Potkin, Adrian Preda, Theo G. M. van Erp, Vince D. Calhoun
Summary: In this work, the researchers focused on explicitly nonlinear relationships in functional networks by introducing a technique using normalized mutual information (NMI). They demonstrated their proposed approach using simulated data and applied it to a dataset of schizophrenia patients and healthy controls. The analysis showed a modularized nonlinear relationship among brain functional networks, particularly in the sensory and visual cortex. Group analysis identified significant differences in explicitly nonlinear functional network connectivity (FNC) between the two groups, with controls showing more nonlinearity in most cases. The results suggest that quantifying nonlinear dependencies of functional connectivity may provide a complementary and potentially important tool for studying brain function.
HUMAN BRAIN MAPPING
(2022)
Review
Neurosciences
Na Xu, Wei Shan, Jing Qi, Jianping Wu, Qun Wang
Summary: Epilepsy is a disorder characterized by abnormal electrical discharges in the brain, which can be investigated through network analysis. Resting-state functional connectivity analysis is becoming increasingly important in preoperative evaluation, and magnetoencephalography (MEG) is an ideal tool for estimating such connectivity. Studies have shown that MEG-based resting-state functional connectivity has the potential to predict postsurgical outcomes for epileptic patients.
FRONTIERS IN HUMAN NEUROSCIENCE
(2021)
Article
Neurosciences
Eric Jacob Bacon, Chaoyang Jin, Dianning He, Shuaishuai Hu, Lanbo Wang, Han Li, Shouliang Qi
Summary: This study used rs-fMRI data to characterize connectivity patterns in drug-resistant epilepsy, revealing significant connectivity changes in the default mode network (DMN) and the dorsal attention network (DAN). The combination of functional and effective connectivity analysis of rs-fMRI can aid in diagnosing epilepsy in the DMN and DAN networks.
FRONTIERS IN NEUROSCIENCE
(2023)
Article
Neurosciences
Ke Song, Yong Wang, Mei-Xia Ren, Jiao Li, Ting Su, Si-Yi Chen, Yi Shao, Ya-Li Lv
Summary: Using resting-state functional connectivity, this study found abnormal neural activities in specific brain regions of patients with optic neuritis, with significant changes in rsFC, longFCD, and IFCD values, which may help identify the specific mechanism of change in brain function in ON.
FRONTIERS IN NEUROSCIENCE
(2021)
Article
Neurosciences
Anees Abrol, Zening Fu, Yuhui Du, Tony W. W. Wilson, Yu-Ping Wang, Julia M. M. Stephen, Vince D. D. Calhoun
Summary: The brain's functional architecture and organization undergo continuous development and modification throughout adolescence. This study systematically evaluated over 47,000 youth and adult brains to examine time-resolved functional connectivity patterns and found distinct differences between the two life stages, indicating an overall inverted U-shaped trajectory in the strengthening and modularization of functional coupling. These findings suggest greater synchrony and integration of the brain's functional connections beyond adolescence, with a gradual decline during healthy aging.
HUMAN BRAIN MAPPING
(2023)
Review
Clinical Neurology
Mahan Shafie, Elnaz Shahmohamadi, Giulia Cattarinussi, Hossein Sanjari Moghaddam, Shahin Akhondzadeh, Fabio Sambataro, Chiara Moltrasio, Giuseppe Delvecchio
Summary: This review summarizes the findings of resting-state functional magnetic resonance imaging (rsfMRI) studies in individuals with borderline personality disorder (BPD). The results indicate aberrant functional connectivity within and between several brain networks, including the default mode network (DMN), salience network (SN), and central executive network (CEN), as well as selective functional impairments in specific brain regions. However, the generalizability of these results is limited by the observational design, small sample size, and heterogeneity across imaging methodologies.
JOURNAL OF AFFECTIVE DISORDERS
(2023)
Article
Clinical Neurology
Oleg V. Lobanov, Joshua S. Shimony, Jeanette Kenley, Sydney Kaplan, Dimitrios Alexopoulos, Jarod L. Roland, Matthew D. Smyth, Christopher D. Smyser
Summary: While most pediatric patients with tuberous sclerosis complex and drug-resistant epilepsy exhibit similar functional connectivity patterns to healthy children, differences are clear in patients with higher tuber burden and worse outcomes. Improvements in resting-state network organization postoperatively may serve as candidate biomarkers for clinical management in this high-risk population.
Article
Neurosciences
Zhihong Lan, Shoujun Xu, Xiangrong Yu, Zhenjie Yu, Meng Li, Feng Chen, Yu Liu, Tianyue Wang, Yunfan Wu, Yungen Gan, Guihua Jiang
Summary: This study investigates the functional connectivity in single-sex children with autism spectrum disorders (ASDs) through resting-state functional magnetic resonance imaging (rs-fMRI), revealing enhanced connectivity in specific brain regions. The study suggests a possible relationship between atypical visual attention and poor learning ability in subjects with ASD.
FRONTIERS IN NEUROSCIENCE
(2022)
Article
Psychiatry
Mireia Masias Bruns, Juan Pablo Ramirez-Mahaluf, Isabel Valli, Maria Ortuno, Daniel Ilzarbe, Elena de la Serna, Olga Puig Navarro, Nicolas A. Crossley, Miguel Angel Gonzalez Ballester, Inmaculada Baeza, Gemma Piella, Josefina Castro-Fornieles, Gisela Sugranyes
Summary: The study aimed to investigate whether patients with first episode, adolescent-onset psychosis (AOP) exhibit dynamic functional connectivity (dFC) alterations similar to those seen in adult-onset and chronic psychosis patients. The results showed that AOP patients had similar dFC alterations to adult-onset and chronic psychosis patients, indicating that these abnormalities are not influenced by chronicity or prolonged antipsychotic treatment exposure. This study provides insight into the neurodevelopmental changes in brain functional connections during adolescence and suggests the potential for using dFC measures as biomarkers for characterizing adolescent-onset psychosis.
SCHIZOPHRENIA BULLETIN
(2023)
Article
Clinical Neurology
Lucas E. Sainburg, Andrew P. Janson, Graham W. Johnson, Jasmine W. Jiang, Baxter P. Rogers, Catie Chang, Dario J. Englot, Victoria L. Morgan
Summary: Epilepsy surgery involves the resection of the epileptic focus and is used to treat drug-resistant focal epilepsy. However, focal brain lesions can have effects in distant brain regions. This study investigates the effects of focal disconnections in the brain network on function in distant brain regions using epilepsy surgery.
Article
Neurosciences
Lu Chen, Ting Huang, Di Ma, Yu-Chen Chen
Summary: This study used resting-state functional magnetic resonance imaging (fMRI) to investigate the intrinsic functional connectivity (FC) pattern of the default mode network (DMN) in patients with Parkinson's disease (PD). The results showed increased FC between the posterior cingulate cortex (PCC) and other brain regions in PD patients compared to healthy controls (HCs). The increased FC values in the right precuneus were also positively correlated with motor severity in the PD group. These findings suggest that altered connectivity in the DMN may play a crucial role in the cognitive decline observed in PD.
FRONTIERS IN NEUROSCIENCE
(2022)
Article
Neurosciences
Xin Hao, Taicheng Huang, Yiying Song, Xiangzhen Kong, Jia Liu
Summary: The study reveals age-related changes in the navigation network organization, with increasing modularity under resting-state and increasing flexibility under task-state. Task-modulated FC changes were found to be greater in adults than in children, suggesting differences in network organization between age groups during tasks.
Article
Oncology
Lu Jin, Chuzhong Li, Yazhuo Zhang, Taoyang Yuan, Jianyou Ying, Zhentao Zuo, Songbai Gui
Summary: This study investigated the dynamic alterations of functional connectivity within the language network in glioma patients, revealing a distinct pattern of connectivity changes modulated by tumor position. Left hemisphere gliomas had a broader impact on functional connectivity compared to right hemisphere gliomas. The findings highlight the modulatory effects of core-periphery mechanisms on language processing.
FRONTIERS IN ONCOLOGY
(2021)
Article
Clinical Neurology
Graham W. Johnson, Derek J. Doss, Victoria L. Morgan, Danika L. Paulo, Leon Y. Cai, Jared S. Shless, Aarushi S. Negi, Abhijeet Gummadavelli, Hakmook Kang, Shilpa B. Reddy, Robert P. Naftel, Sarah K. Bick, Shawniqua Williams Roberson, Benoit M. Dawant, Mark T. Wallace, Dario J. Englot
Summary: Why are people with epilepsy not continuously having seizures? Johnson et al. use intracranial electrical recordings to analyse brain network interactions in people with epilepsy, and provide evidence that the seizure-onset network is actively suppressed by the rest of the brain during interictal states.
Article
Biology
Yue Liu, Shunxing Bao, Dario J. Englot, Victoria L. Morgan, Warren D. Taylor, Ying Wei, Ipek Oguz, Bennett A. Landman, Ilwoo Lyu
Summary: This paper proposes a novel particle method for establishing dense shape correspondence between pre- and post-surgical surfaces in temporal lobe resection. The method can handle partial structural abnormality involving non-rigid changes. Unlike existing particle methods, explicit particle adjacency is considered to establish a smooth correspondence. Moreover, hierarchical optimization of particles is proposed to avoid the trappings of locally optimal particle update.
COMPUTERS IN BIOLOGY AND MEDICINE
(2023)
Article
Neurosciences
Claire Donnici, Xiangyu Long, Jess Reynolds, Gerald F. Giesbrecht, Deborah Dewey, Nicole Letourneau, Yuankai Huo, Bennett Landman, Catherine Lebel
Summary: Prenatal depressive symptoms are associated with negative outcomes in children and predict later psychopathology. This study investigates the relationship between symptoms and brain structure development over time. Results show that moderate symptoms of prenatal depression are linked to changes in brain regions and networks involved in emotion processing, even in low socioeconomic risk samples.
HUMAN BRAIN MAPPING
(2023)
Article
Neurosciences
Katherine S. Aboud, Tin Q. Nguyen, Stephanie N. Del Tufo, Catie Chang, David H. Zald, Alexandra P. Key, Gavin R. Price, Bennett A. Landman, Laurie E. Cutting
Summary: In this study, a neurobiological model for real-time semantic cognition in the context of language comprehension is elucidated using fused functional magnetic resonance imaging and electroencephalography analysis. It is found that semantic cognition is supported by trade-offs between widespread neural networks over milliseconds. Moreover, mediatory relationships among these networks significantly predict language comprehension ability.
JOURNAL OF NEUROSCIENCE
(2023)
Article
Geriatrics & Gerontology
Corey W. Bown, Omair A. Khan, Dandan Liu, Samuel W. Remedios, Kimberly R. Pechman, James G. Terry, Sangeeta Nair, L. Taylor Davis, Bennett A. Landman, Katherine A. Gifford, Timothy J. Hohman, John Jeffrey Carr, Angela L. Jefferson
Summary: This study found that enlarged perivascular spaces (ePVS) are difficult to quantify and their etiologies and consequences are unclear. The results suggest that higher aortic stiffness is associated with greater basal ganglia ePVS burden, and ePVS burden is associated with adverse cognitive trajectory, highlighting the clinical relevance of ePVS.
NEUROBIOLOGY OF AGING
(2023)
Article
Clinical Neurology
Lucas E. Sainburg, Andrew P. Janson, Graham W. Johnson, Jasmine W. Jiang, Baxter P. Rogers, Catie Chang, Dario J. Englot, Victoria L. Morgan
Summary: Epilepsy surgery involves the resection of the epileptic focus and is used to treat drug-resistant focal epilepsy. However, focal brain lesions can have effects in distant brain regions. This study investigates the effects of focal disconnections in the brain network on function in distant brain regions using epilepsy surgery.
Review
Behavioral Sciences
Henry C. Skrehot, Dario J. Englot, Zulfi Haneef
Summary: This meta-analysis compared the efficacy of vagus nerve stimulation (VNS), responsive neurostimulation (RNS), and deep brain stimulation (DBS) for reducing seizures in drug-resistant focal epilepsy. The study found that RNS and DBS had similar seizure reduction efficacy, which was greater than that of VNS, especially in the first year post-implantation.
EPILEPSY & BEHAVIOR
(2023)
Letter
Ophthalmology
Louise A. Mawn, Bennett A. Landman
OPHTHALMIC PLASTIC AND RECONSTRUCTIVE SURGERY
(2023)
Editorial Material
Clinical Neurology
Dario J. Englot
Summary: Loss of consciousness is a significant feature of epileptic seizures and can lead to serious consequences. This study compared brain activities during focal impaired awareness and focal to bilateral tonic-clonic seizures, revealing differences in the mechanisms of loss of consciousness. These findings have important implications for clinical outcomes and neuromodulation therapies.
Editorial Material
Clinical Neurology
Dario J. Englot
Summary: This study aimed to evaluate the prevalence and risk factors for pharmacoresistance in pediatric FCD-related epilepsy. The results showed that failure of only one antiseizure medication is significantly associated with the risk of pharmacoresistance. These data support an operational re-definition of pharmacoresistance for surgical planning and indicate the potential benefits of early, curative surgery to improve outcomes in patients with FCD-related epilepsy.
Article
Multidisciplinary Sciences
Rafael Paez, Michael N. Kammer, Aneri Balar, Dhairya A. Lakhani, Michael Knight, Dianna Rowe, David Xiao, Brent E. Heideman, Sanja L. Antic, Heidi Chen, Sheau-Chiann Chen, Tobias Peikert, Kim L. Sandler, Bennett A. Landman, Stephen A. Deppen, Eric L. Grogan, Fabien Maldonado
Summary: A deep learning model (LCP CNN) showed better discrimination than clinical prediction models for the stratification of indeterminate pulmonary nodules (IPNs). However, the model's score is based on a single timepoint and does not consider longitudinal information. Investigating the change in LCP CNN scores over time, it was found that malignant and benign nodules have distinctive trends, which may improve the prediction of lung cancer.
SCIENTIFIC REPORTS
(2023)
Article
Clinical Neurology
T. Campbell Arnold, Lohith G. Kini, John M. Bernabei, Andrew Y. Revell, Sandhitsu R. Das, Joel M. Stein, Timothy H. Lucas, Dario J. Englot, Victoria L. Morgan, Brian Litt, Kathryn A. Davis
Summary: This study proposes a semi-automated method to quantify structural changes after epilepsy surgery and compares the remote effects of two surgical approaches (anterior temporal lobectomy and selective amygdalohippocampectomy) on brain structure.
Article
Radiology, Nuclear Medicine & Medical Imaging
Kaiwen Xu, Mirza S. Khan, Thomas Z. Li, Riqiang Gao, James G. Terry, Yuankai Huo, Thomas A. Lasko, John Jeffrey Carr, Fabien Maldonado, Bennett A. Landman, Kim L. Sandler
Summary: This study evaluated the added value of CT-based AI-derived body composition measurements in predicting the risk of lung cancer incidence, lung cancer death, cardiovascular disease death, and all-cause mortality. The results showed that these measurements improved the risk prediction for lung cancer death, CVD death, and all-cause mortality, but not for lung cancer incidence.
Article
Clinical Neurology
Yisu Yang, Kurt Schilling, Niranjana Shashikumar, Varuna Jasodanand, Elizabeth E. Moore, Kimberly R. Pechman, Murat Bilgel, Lori L. Beason-Held, Yang An, Andrea Shafer, Shannon L. Risacher, Bennett A. Landman, Angela L. Jefferson, Andrew J. Saykin, Susan M. Resnick, Timothy J. Hohman, Derek B. Archer
Summary: This study examines white matter microstructure abnormalities along the AD continuum using DMRI data. The findings suggest that FW correction can provide further insights into the neurodegenerative process of white matter in AD.
ALZHEIMER'S & DEMENTIA: DIAGNOSIS, ASSESSMENT & DISEASE MONITORING
(2023)
Article
Anatomy & Morphology
Kurt G. Schilling, Derek Archer, Francois Rheault, Ilwoo Lyu, Yuankai Huo, Leon Y. Cai, Silvia A. Bunge, Kevin S. Weiner, John C. Gore, Adam W. Anderson, Bennett A. Landman
Summary: This study provides a comprehensive characterization of superficial white matter (SWM) in the human brain, revealing its features and mechanisms associated with brain development and aging. SWM thickness and volume vary across brain regions and change with age, showing associations with cortical thickness and curvature. SWM volume peaks in adolescence, stabilizes throughout adulthood, and decreases with age. This study represents the first description of SWM features across the lifespan and provides insights into normal aging.
BRAIN STRUCTURE & FUNCTION
(2023)