Article
Neurosciences
Xiaoyi Sun, Jinrong Sun, Xiaowen Lu, Qiangli Dong, Liang Zhang, Wenxu Wang, Jin Liu, Qing Ma, Xiaoqin Wang, Dongtao Wei, Yuan Chen, Bangshan Liu, Chu-Chung Huang, Yanting Zheng, Yankun Wu, Taolin Chen, Yuqi Cheng, Xiufeng Xu, Qiyong Gong, Tianmei Si, Shijun Qiu, Ching-Po Lin, Jingliang Cheng, Yanqing Tang, Fei Wang, Jiang Qiu, Peng Xie, Lingjiang Li, Yong He, Mingrui Xia
Summary: Major depressive disorder is a highly heterogeneous disorder with two reproducible neurophysiological subtypes identified in the study, showing severe and moderate deviation patterns in functional connectivity. These subtypes have predictive value for antidepressant treatment outcomes.
BIOLOGICAL PSYCHIATRY
(2023)
Article
Neurosciences
David M. Watson, Timothy J. Andrews
Summary: Functional gradients, a key organizing principle of the brain, can be reconstructed from functional connectivity patterns. However, the local connectivity patterns may be confounded by artificial spatial autocorrelations introduced during data analysis, resulting in illusory gradients. Connectopic mapping techniques need to be interpreted with caution due to the potential confounding effect of artificial spatial autocorrelations.
Article
Neurosciences
Andrew S. Persichetti, Joseph M. Denning, Stephen J. Gotts, Alex Martin
Summary: The study delves into the functional organization of the anterior temporal lobe (ATL) by identifying at least 34 distinct functional parcels using resting-state fMRI data. It reveals that the ATL is not a homogenous semantic hub, but rather a region consisting of multiple specialized networks. These findings provide a detailed functional map of the ATL for future research into the diverse cognitive functions supported by different regions within the ATL.
JOURNAL OF NEUROSCIENCE
(2021)
Article
Engineering, Multidisciplinary
Ying Lin, Junji Ma, Bingjing Huang, Jinbo Zhang, Yining Zhang, Zhengjia Dai
Summary: The study proposes a novel approach to predict functional connectivity strength in the human brain based on geometric and topological features of structural connectivity, showing that geometric features are more predictive than topological features. Indirect structural paths play a crucial role in inducing functional connectivity, especially between disconnected and/or distanced regions.
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING
(2021)
Article
Engineering, Biomedical
Judie Tabbal, Aya Kabbara, Maxime Yochum, Mohamad Khalil, Mahmoud Hassan, Pascal Benquet
Summary: This study provides a quantitative assessment of the advantages and limitations of EEG/MEG source-space network analysis and introduces a complete framework to optimize the entire pipeline. Using a computational model, the performance of key steps involved in the analysis process was evaluated, and significant variability among tested algorithms was observed. The findings highlight the importance of using brain models to evaluate different steps and parameters in EEG/MEG analysis.
JOURNAL OF NEURAL ENGINEERING
(2022)
Article
Neurosciences
Hui Ji, Kelly Payette, Anna Speckert, Ruth Tuura, Patrice Grehten, Raimund Kottke, Nicole Ochseinbein-Koelble, Cornelia Hagmann, Luca Mazzone, Martin Meuli, Beth Padden, Annette Hackenberg, David-Alexander Wille, Ueli Moehrlen, Beatrice Latal, Andras Jakab
Summary: The study examined the associations between thalamocortical connectivity topography, neurological function, and developmental outcomes in newborns with open spina bifida who underwent prenatal surgical repair. The findings suggest that altered thalamocortical circuitry development may contribute to impaired lower extremity function in open spina bifida.
Review
Clinical Neurology
Jarod L. Roland, Carl D. Hacker, Eric C. Leuthardt
Summary: Brain mapping is essential in neurosurgical practice, with our understanding of the brain's functional organization largely thanks to past clinical investigations by neurosurgeons. Traditional mapping involved invasive electrical stimulation, but now there are noninvasive passive mapping modalities available.
Article
Cell Biology
Kiavash Kiaee, Yasamin A. Jodat, Nicole J. Bassous, Navneet Matharu, Su Ryon Shin
Summary: This study analyzed eight brain organoid transcriptome databases to study the correlation between differentiation protocols and resulting cellular functionality across various 3D organoid and exogenous brain models. Through dimensionality reduction methods, cellular diversity among 3D models was identified and visualized, followed by gene set enrichment analysis and developmental trajectory inference to quantify neuronal behaviors. The results revealed high similarity in cellular composition, differentiation pathways, and expression of functional genes during induction and differentiation phases up to three months in culture, but significant developmental deficits were observed at the 6-month time point.
Article
Neurosciences
Sanjay Ghosh, Ashish Raj, Srikantan S. Nagarajan
Summary: This article introduces a computational framework that reconstructs functional connectivity from structural connectivity by identifying a joint subspace of eigenmodes. It is found that a small number of these eigenmodes are sufficient for reconstruction and the proposed algorithm shows competitive performance and better interpretability compared to existing methods.
Review
Clinical Neurology
Fardin Nabizadeh, Mohammad Hadi Aarabi
Summary: The traditional approach of studying brain disorders and localizing brain function involves identifying brain abnormalities and comparing them to controls. To address the challenge of similar symptoms caused by lesions in diverse regions, researchers have started mapping brain lesions to functional or structural networks, known as lesion network mapping (LNM). This review focuses on recent studies that have utilized LNM to map neurological and psychiatric symptoms, providing insights into brain network functions.
FRONTIERS IN NEUROLOGY
(2023)
Review
Neurosciences
Jinghua Hu, Jinluan Cui, Jin-Jing Xu, Xindao Yin, Yuanqing Wu, Jianwei Qi
Summary: Tinnitus, the perception of sound without external stimulus, often accompanies hearing loss and mood disorders like depression and anxiety. Functional magnetic resonance imaging studies have revealed neural network alterations in tinnitus patients, with changes in functional connectivity and neural activity related to the perception, persistence, and severity of tinnitus. Further research is needed to better understand the complex regulatory mechanism of tinnitus involving multiple networks.
FRONTIERS IN NEUROSCIENCE
(2021)
Article
Neurosciences
Hengcheng Zhu, Ziyi Huang, Yifeixue Yang, Kaiqiang Su, Mingxia Fan, Yong Zou, Ting Li, Dazhi Yin
Summary: Emerging evidence suggests that activity flow over resting-state network topology can predict task activations. In this study, the authors propose a probabilistic functional connectivity (FC) estimation derived from a dynamic framework as a new activity flow route. They test the activity flow mapping using between- and within-network connections and tight task contrasts. The results show that probabilistic FC routes substantially improve individual-level activity flow prediction, particularly in higher-order cognitive control systems. The study also demonstrates divergent influences of connectional topology and task contrasts on activity flow prediction across brain systems with different functional hierarchies.
HUMAN BRAIN MAPPING
(2023)
Article
Computer Science, Artificial Intelligence
Ahmed Nebli, Mohammed Amine Gharsallaoui, Zeynep Gurler, Islem Rekik, Alzheimers Dis Neuroimaging Initiative
Summary: Graph neural networks (GNNs) have been widely used in various fields such as computer vision and computer-aided diagnosis, but the reproducibility of the discriminative features identified by GNNs is still a concern, especially in clinical applications. This study proposes a reproducibility-based GNN selection framework to quantify the reproducibility by evaluating the shared discriminative features among different models.
Article
Neurosciences
Chae Hyeon Lee, Hyunjin Park, Mi Ji Lee, Bo-yong Park
Summary: Using dimensionality reduction techniques, we found significant differences in whole-brain functional connectivity between patients with migraine and healthy controls, particularly in the sensory/motor and limbic cortices. We also revealed significant alterations in subcortical connectivity with subcortico-cortical connectivity multiplied by cortical eigenvectors. Moreover, using supervised machine learning, we moderately predicted headache frequency using cortical and subcortical functional connectivity features.
HUMAN BRAIN MAPPING
(2023)
Article
Biochemistry & Molecular Biology
Nguyen Thanh Nhu, David Yen-Ting Chen, Jiunn-Horng Kang
Summary: This study compared the accuracy of network rs-FC and brain structural features in identifying FM using a machine learning approach. The results showed that the rs-FC ML model outperformed the structural ML model in distinguishing FM patients from pain-free controls, and the combined rs-FC and structural ML model performed the best. Several rs-FC features in the final ML model were found to correlate with FM's clinical data.
Article
Neurosciences
Michael A. Ferguson, Jared A. Nielsen, Jace B. King, Li Dai, Danielle M. Giangrasso, Rachel Holman, Julie R. Korenberg, Jeffrey S. Anderson
SOCIAL NEUROSCIENCE
(2018)
Article
Psychology, Clinical
Sanam J. Lalani, Tyler C. Duffield, Haley G. Trontel, Erin D. Bigler, Tracy J. Abildskov, Alyson Froehlich, Molly B. D. Prigge, Brittany G. Travers, Jeffrey S. Anderson, Brandon A. Zielinski, Andrew Alexander, Nicholas Lange, Janet E. Lainhart
JOURNAL OF CLINICAL AND EXPERIMENTAL NEUROPSYCHOLOGY
(2018)
Article
Psychology, Clinical
Kevin Duff, Kayla R. Suhrie, Bonnie C. A. Dalley, Jeffrey S. Anderson, John M. Hoffman
CLINICAL NEUROPSYCHOLOGIST
(2019)
Article
Clinical Neurology
Matthew J. Barrett, Jamie C. Blair, Scott A. Sperling, Mark E. Smolkin, T. Jason Druzgal
Review
Radiology, Nuclear Medicine & Medical Imaging
Ashley N. Anderson, Jace B. King, Jeffrey S. Anderson
BRITISH JOURNAL OF RADIOLOGY
(2019)
Article
Clinical Neurology
E. Aliotta, H. Nourzadeh, P. P. Batchala, D. Schiff, M. B. Lopes, J. T. Druzgal, S. Mukherjee, S. H. Patel
AMERICAN JOURNAL OF NEURORADIOLOGY
(2019)
Article
Radiology, Nuclear Medicine & Medical Imaging
Benjamin T. Newman, Thijs Dhollander, Kristen A. Reynier, Matthew B. Panzer, T. Jason Druzgal
MAGNETIC RESONANCE IN MEDICINE
(2020)
Article
Clinical Neurology
Matthew J. Barrett, Justin M. Murphy, Jeffrey Zhang, Jamie C. Blair, Joseph L. Flanigan, Huma Nawaz, W. Alex Dalrymple, Scott A. Sperling, James Patrie, T. Jason Druzgal
Summary: In early Parkinson's disease patients, impaired olfaction is associated with degeneration of the cholinergic basal forebrain and multiple brain regions, and cognitive decline may be mediated by atrophy of the cortex and hippocampus.
PARKINSONISM & RELATED DISORDERS
(2021)
Article
Psychology, Clinical
Kayla R. Suhrie, Dustin B. Hammers, Sariah M. Porter, Ava M. Dixon, Jace B. King, Jeffrey S. Anderson, Kevin Duff, John M. Hoffman
Summary: RBANS, particularly the Delayed Memory Index, is sensitive to AD pathology and can be used as a predictive tool, especially in clinical drug trials. Lower RBANS Total Scale score or Delayed Memory Index predicted the presence of APOE epsilon 4 allele[s], higher cerebral amyloid burden, and lower hippocampal volumes, with demographic variables not consistently contributing to these models.
JOURNAL OF CLINICAL AND EXPERIMENTAL NEUROPSYCHOLOGY
(2021)
Article
Clinical Neurology
J. A. Maldjian, R. Lee, J. Jordan, E. M. Davenport, A. L. Proskovec, M. Wintermark, S. Stufflebeam, J. Anderson, P. Mukherjee, S. S. Nagarajan, P. Ferrari, W. Gaetz, E. Schwartz, T. P. L. Roberts
Summary: Magnetoencephalography (MEG) and magnetic source imaging (MSI) are powerful techniques for detecting and localizing brain activity. They have been increasingly used in clinical practice and research worldwide.
AMERICAN JOURNAL OF NEURORADIOLOGY
(2022)
Article
Biochemistry & Molecular Biology
Guang Yang, H. M. Arif Ullah, Ethan Parker, Bushra Gorsi, Mark Libowitz, Colin Maguire, Jace B. King, Hilary Coon, Melissa Lopez-Larson, Jeffrey S. Anderson, Mark Yandell, Alex Shcheglovitov
Summary: Pediatric bipolar disorder (PBD) is a severe mood dysregulation condition that affects a small percentage of children and teens in the United States. In a study, researchers found altered brain connectivity and abnormal signaling related to neurite outgrowth in PBD patients, suggesting that dysregulated PLXNB1 signaling may contribute to the increased risk of PBD and other mood dysregulation-related disorders.
MOLECULAR PSYCHIATRY
(2023)
Review
Cell Biology
Kiel D. Neumann, Donna K. Broshek, Benjamin T. Newman, T. Jason Druzgal, Bijoy K. Kundu, Jacob E. Resch
Summary: Sport concussion affects millions of athletes each year. Research has shown inconsistent definitions in clinical and physiological recovery, as demonstrated by studies on blood-based biomarkers and CNS imaging. Recent studies indicate elevated microglial activation in the CNS of football players and diagnosed collegiate athletes, suggesting a discrepancy between clinical symptoms and inflammatory response. This review summarizes recent advances in understanding the inflammatory response associated with sport concussion and outlines important research questions for aligning clinical and physiological recovery.
Proceedings Paper
Computer Science, Artificial Intelligence
Kristen M. Campbell, Jeffrey S. Anderson, P. Thomas Fletcher
MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION - MICCAI 2019, PT IV
(2019)
Meeting Abstract
Clinical Neurology
Cody Freeman, Scott Sperling, Mark Smolkin, Jamie Blair, Jason Druzgal, Matthew Barrett
MOVEMENT DISORDERS
(2018)
Article
Neuroimaging
Bryson B. Reynolds, Amanda N. Stanton, Sauson Soldozy, Howard P. Goodkin, Max Wintermark, T. Jason Druzgal
BRAIN IMAGING AND BEHAVIOR
(2018)