Article
Neurosciences
Lauren Kupis, Zachary T. Goodman, Salome Kornfeld, Stephanie Hoang, Celia Romero, Bryce Dirks, Joseph Dehoney, Catie Chang, R. Nathan Spreng, Jason S. Nomi, Lucina Q. Uddin
Summary: This study examined the intrinsic brain dynamics across the lifespan using resting-state fMRI data. It found that children and older adults were more likely to exhibit brain dynamic patterns associated with poorer cognitive flexibility, highlighting the importance of targeting these networks with cognitive flexibility training.
Article
Neurosciences
Kai Xu, Na Niu, Xin Li, Yuan Chen, Dandan Wang, Junying Zhang, Yaojing Chen, He Li, Dongfeng Wei, Kewei Chen, Ruixue Cui, Zhanjun Zhang, Li Yao
Summary: The study found that both glucose metabolism and functional connectivity (FC) in the posterior default mode network (pDMN) decline significantly with age in older adults. The decline in both metabolism and FC in the pDMN is significantly correlated with executive function decline. Mediation analysis revealed that glucose metabolism mediated the decline in FC, and FC mediated the executive function deficits.
Article
Neurosciences
Menglu Chen, Ying He, Lei Hao, Jiahua Xu, Ting Tian, Siya Peng, Gai Zhao, Jing Lu, Yuyao Zhao, Hui Zhao, Min Jiang, Jia-Hong Gao, Shuping Tan, Yong He, Chao Liu, Sha Tao, Lucina Q. Uddin, Qi Dong, Shaozheng Qin
Summary: Using fMRI data, researchers investigated the developmental changes in the default mode network (DMN) and frontal parietal network (FPN) in 528 children and 103 young adults. The study found that children showed significant improvements in DMN activation and FPN coupling compared to adults, indicating maturation of these networks. Furthermore, the coupling between the DMN and FPN in children was found to mediate the relationship between age and working memory-related functional coupling. The findings suggest the importance of the DMN in supporting the development of executive functions in children.
Article
Neurosciences
Zhiting Ren, Richard J. Daker, Liang Shi, Jiangzhou Sun, Roger E. Beaty, Xinran Wu, Qunlin Chen, Wenjing Yang, Ian M. Lyons, Adam E. Green, Jiang Qiu
Summary: This study delves into anxiety barriers in creative cognition, uncovering a neural network associated with creativity anxiety and demonstrating its distinction from networks related to divergent creative ability. Additionally, the research developed a Chinese version of the Creativity Anxiety Scale and showed the replicability of key findings across cultures and languages.
Article
Neurosciences
Gwladys Rey, Thomas A. W. Bolton, Julian Gaviria, Camille Piguet, Maria Giulia Preti, Sophie Favre, Jean-Michel Aubry, Dimitri Van de Ville, Patrik Vuilleumier
Summary: The study explores alterations in brain circuits related to emotion processing and regulation in different mood states of bipolar disorder (BD) patients, using a novel co-activation pattern (CAP) analysis to reveal dynamic changes in amygdala connectivity. Distinct interactions between amygdala and distributed brain networks in different mood states were identified, highlighting the importance of further research on interoception and default-mode systems.
NEUROPSYCHOPHARMACOLOGY
(2021)
Article
Neuroimaging
Suraya Meghji, Alicia J. Hilderley, Kara Murias, Brian L. Brooks, John Andersen, Darcy Fehlings, Nomazulu Dlamini, Adam Kirton, Helen L. Carlson
Summary: Perinatal stroke is an early brain vascular injury that often leads to lifelong disability. Children with perinatal stroke commonly have comorbidities such as attention-deficit hyperactivity disorder (ADHD) and deficits in executive function. This study found differences in functional connectivity within and between networks in children with perinatal stroke, and these differences were associated with ADHD symptoms and executive function.
BRAIN IMAGING AND BEHAVIOR
(2023)
Article
Rheumatology
Michelle Barraclough, Shane McKie, Ben Parker, Rebecca Elliott, Ian N. Bruce
Summary: This study found altered functional connectivity within the default mode network in SLE patients regardless of disease activity, with depression accounting for some of the effect but SLE itself accounting for more. Further research is needed to assess if these changes may be a precursor to cognitive dysfunction in SLE. If so, rs-fMRI could be an early marker for cognitive dysfunction in SLE and assist in future treatment trials.
Article
Nutrition & Dietetics
Nicolas Guerithault, Samuel M. McClure, Chinedum O. Ojinnaka, B. Blair Braden, Meg Bruening
Summary: In this study, fMRI was used to investigate the differences in functional connectivity across cognitive networks at rest among college students with different levels of food security. The results suggest that food insecurity is associated with poorer executive function and altered functional connectivity in specific brain regions, which may contribute to executive function difficulties in college students.
Article
Psychology, Clinical
Mingqia Wang, Xiaoyu Chen, Yiru Hu, Yangling Zhou, Chengyu Wang, Wei Zheng, Weijian Liu, Xiaofeng Lan, Yuping Ning, Bin Zhang
Summary: This study explored changes in resting-state functional connectivity of the Hb in responders and nonresponders diagnosed with unipolar or bipolar depression before and after ketamine treatment. Results suggest that ketamine may exert its antidepressant efficacy through downregulation of aberrant habenular functional connectivity with parts of the default mode network.
DEPRESSION AND ANXIETY
(2022)
Article
Clinical Neurology
Yang Yang, Qian Cui, Fengmei Lu, Yajing Pang, Yuyan Chen, Qin Tang, Di Li, Ting Lei, Zongling He, Shan Hu, Jiaxin Deng, Huafu Chen
Summary: The study revealed abnormal functional connectivity patterns of DMN subsystems in patients with bipolar disorder during major depressive episodes, and these abnormalities were associated with high levels of pessimism, highlighting the importance of pathological mechanisms in this disorder.
JOURNAL OF AFFECTIVE DISORDERS
(2021)
Article
Neuroimaging
Yuqun Zhang, Yuan Yang, Xiaomin Xu, Yonggui Yuan
Summary: Research has shown a correlation between asthma and neural activity in brain circuits, particularly in the salience network (SN). Asthmatic patients display altered connections within the SN and increased connectivity with other brain regions such as the default mode network (DMN) and executive control network (ECN). Furthermore, neural activity in asthmatic patients may be associated with depressive symptoms, indicating a potential link between asthma, brain function, and mental health.
BRAIN IMAGING AND BEHAVIOR
(2022)
Article
Neurosciences
Jewel E. Crasta, Mary Beth Nebel, Adrian Svingos, Robert N. Tucker, Hsuan Wei Chen, Tyler Busch, Brian S. Caffo, Jaclyn Stephens, Stacy J. Suskauer
Summary: Adolescents who have clinically recovered from concussion still exhibit subtle motor impairment, and there is limited information about the relationship between persistent motor impairment and brain-behavior. In this study, we examined this relationship and found that recovered adolescents showed greater motor deficits and increased connectivity between the default mode network (DMN) and left lateral premotor cortex compared to controls. Additionally, connectivity between DMN and left lateral premotor cortex was correlated with total motor deficit scores, suggesting that altered functional connectivity may contribute to motor deficits in recovered adolescents. Further research is needed to understand the long-term clinical significance and persistence of altered functional connectivity and associated motor deficits.
HUMAN BRAIN MAPPING
(2023)
Article
Multidisciplinary Sciences
Monica E. Ellwood-Lowe, Susan Whitfield-Gabrieli, Silvia A. Bunge
Summary: Previous research has shown an association between better cognitive test performance and weaker functional connectivity between brain networks for children and adults. However, this association does not hold for children from households in poverty, emphasizing the need for more diverse samples in developmental cognitive neuroscience research.
NATURE COMMUNICATIONS
(2021)
Article
Neurosciences
Junli Li, Changlian Tan, Lin Zhang, Sainan Cai, Qin Shen, Qinru Liu, Min Wang, Chendie Song, Fan Zhou, Jiaying Yuan, Yujing Liu, Bowen Lan, Haiyan Liao
Summary: This study investigated neural network changes in early Parkinson's disease using resting-state functional magnetic resonance imaging. The results showed significant differences in intra-network connectivity, particularly in the default mode network (DMN) and right frontoparietal network (RFPN), between both early/mild and early/moderate Parkinson's disease groups and healthy controls. Reduced connectivity was observed between the executive control network (ECN) and DMN, as well as ECN-left frontoparietal network (LFPN), in early/mild Parkinson's disease. Early/moderate Parkinson's disease exhibited decreased connectivity in ECN-LFPN, ECN-RFPN, ECN-DMN, and DMN-auditory network, along with increased connectivity in LFPN-cerebellar network. Correlations were found between ECN-DMN and ECN-LFPN connections with UPDRS-III scores in early/mild Parkinson's disease. These findings suggest that PD progression involves dysfunction in multiple intra- and inter-networks, particularly implicating the ECN, and a wider range of abnormal functional networks may mark the progression of the disease.
Article
Multidisciplinary Sciences
Byung-Hoon Kim, Min-Kyeong Kim, Hye-Jeong Jo, Jae-Jin Kim
Summary: Social anxiety is prevalent among young adults, and machine learning models using brain functional radiomic features can successfully predict its level.
SCIENTIFIC REPORTS
(2022)
Article
Psychology, Clinical
Nadia Bounoua, Rickie Miglin, Jeffrey M. Spielberg, Curtis L. Johnson, Naomi Sadeh
Summary: This study investigates the anatomical associations between the orbitofrontal cortex (OFC)-amygdala circuit, childhood trauma, and pathological personality traits. The results show that childhood trauma exposure moderates the volumetric associations between the OFC and amygdala. It was found that adults with childhood trauma exposure have a positive association between medial OFC volume and amygdalar volume, while those without childhood exposure show a negative association. Furthermore, trauma exposure also moderates the association between OFC volume and antagonistic and disinhibited phenotypes, which are traits characteristic of Cluster B personality disorders.
PSYCHOLOGICAL MEDICINE
(2022)
Article
Psychology, Clinical
Naomi Sadeh, Rickie Miglin, Nadia Bounoua, Ana Sheehan, Jeffrey M. Spielberg
Summary: This study developed a cortical assay of impulsive choice for immediate rewards and found consistent associations with drug use and delay discounting task performance. The assay was also uniquely associated with psychiatric disorders that share impulsivity as a core feature.
PSYCHOLOGICAL MEDICINE
(2023)
Article
Neurosciences
Jeffrey M. Spielberg, Naomi Sadeh, Jungwon Cha, Melanie A. Matyi, Amit Anand
Summary: Individuals with or at risk for bipolar disorder often first seek treatment for depressive symptoms, but medication for major depressive disorder can sometimes lead to manic episodes. This study found differences in brain connectivity between patients with BD and MDD during affect maintenance/regulation, with potential markers for identifying BD risk. These findings could help prevent iatrogenic treatments in individuals with depressive symptoms.
BIOLOGICAL PSYCHIATRY-COGNITIVE NEUROSCIENCE AND NEUROIMAGING
(2022)
Review
Radiology, Nuclear Medicine & Medical Imaging
Annabelle Shaffer, David Weisbaum, Anant Naik, Aaron Anderson, Tracey Wszalek, Mark Cohen, Brad Sutton, Andrew Webb, Bruce Damon, Paul M. Arnold
Summary: The use of 7 Tesla MRI in neurosurgery and neurology is expanding, but safety testing of neurosurgical implants at 7 T is limited. This study assessed the current state of safety of neurosurgical implants at 7 T and identified several implants that are likely compatible. However, caution is needed with certain implants, and it is important to follow ASTM standards in testing.
JOURNAL OF MAGNETIC RESONANCE IMAGING
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Riwei Jin, Ryan K. Shosted, Fangxu Xing, Imani R. Gilbert, Jamie L. Perry, Jonghye Woo, Zhi-Pei Liang, Bradley P. Sutton
Summary: The purpose of this study is to use near-isotropic 3D dynamic magnetic resonance imaging (MRI) to achieve a comprehensive view of articulations during speech. By using a combination of partial separability model-based low-rank reconstruction and sparse acquisition, high spatiotemporal resolution imaging with large vocal-tract coverage is achieved. This imaging technique allows for the visualization of soft tissue motions and provides new insights into tongue movement, velum raising, and coarticulation events.
MAGNETIC RESONANCE IN MEDICINE
(2023)
Article
Engineering, Mechanical
Michael J. J. Benson, Andrew J. J. Banko, Christopher J. J. Elkins, Don-Gwan An, Simon Song, Martin Bruschewski, Sven Grundmann, Tuhin Bandopadhyay, Laura Villafane Roca, Brad Sutton, Kyuho Han, Wontae Hwang, John K. K. Eaton
Summary: Magnetic resonance velocimetry (MRV) is used to measure three velocity components across three-dimensional fields of view. In this study, phase-locked MRV measurements of a pulsatile flow past six cubic elements in a water channel were conducted by five teams. The results showed remarkable similarity and demonstrated the underutilized capability of MRI to obtain time-dependent, volumetric data for periodic flows through three-dimensional geometries.
EXPERIMENTS IN FLUIDS
(2023)
Article
Psychology, Clinical
Keith Bredemeier, Leah D. Church, Nadia Bounoua, Bridget Feler, Jeffrey M. Spielberg
Summary: Intolerance of uncertainty (IU) and anxiety sensitivity (AS) are important factors that may contribute to health anxiety during the COVID-19 pandemic. IU prospectively predicts changes in health anxiety and AS, suggesting the need to monitor and target IU in health anxiety interventions.
JOURNAL OF ANXIETY DISORDERS
(2023)
Article
Neurosciences
Kelsey L. Canada, Samaah Saifullah, Jennie C. Gardner, Bradley P. Sutton, Monica Fabiani, Gabriele Gratton, Naftali Raz, Ana M. Daugherty
Summary: Automatic segmentation methods in MRI are popular due to their efficiency and reproducibility. However, their reliability and validity need to be confirmed through quality control by trained human raters. We present a detailed QC procedure for hippocampal subfield segmentation, including error identification, taxonomy, and severity rating. The procedure has high reliability and introduces minimal error variance. It has been cross-validated and replicated successfully. This detailed QC procedure prioritizes measurement validity and can be applied to any automatic atlas.
Article
Engineering, Biomedical
Rong Guo, Yudu Li, Yibo Zhao, Tianyao Wang, Yao Li, Brad Sutton, Zhi-Pei Liang
Summary: The objective of this study is to map water diffusion coefficients and metabolite distributions of the brain simultaneously in magnetic resonance spectroscopic imaging (MRSI) experiments within a clinically feasible time. The researchers introduced a diffusion-preparation module in water-unsuppressed MRSI acquisition sequence and used fast spatiospectral encodings to achieve simultaneous mapping. They also developed a novel model-based method for reconstruction of the spatial distributions of water diffusion coefficients and metabolite concentrations. The proposed method was found to be feasible and useful for various brain imaging applications.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
(2023)
Article
Psychiatry
Weidong Cai, Stacie L. Warren, Katherine Duberg, Angela Yu, Stephen P. Hinshaw, Vinod Menon
Summary: Deficits in both proactive and reactive control are observed in children with ADHD. TD children demonstrate better control abilities compared to children with ADHD. The coordination between cognitive control mechanisms is not present in children with ADHD. Both proactive and reactive control functions are associated with behavioral problems in ADHD.
TRANSLATIONAL PSYCHIATRY
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Riwei Jin, Yudu Li, Ryan K. Shosted, Fangxu Xing, Imani Gilbert, Jamie L. Perry, Jonghye Woo, Zhi-Pei Liang, Bradley P. Sutton
Summary: By using an improved data sampling and image reconstruction approach, the spatiotemporal qualities of images and dynamics of speech MRI can be enhanced. A Poisson-disc random undersampling scheme was used for data acquisition to reduce undersampling coherence. A novel locally higher-rank partial separability model was proposed for image reconstruction, which preserved the distinct temporal signal characteristics of the oral and static regions.
MAGNETIC RESONANCE IN MEDICINE
(2023)
Article
Psychology, Clinical
Kevin Liu, Ryan C. Thompson, Jessica Watson, Alexandra L. Montena, Stacie L. Warren
Summary: Psychopathology in youth is highly prevalent and associated with adult psychopathology. This study used a network approach to examine the developmental trajectories and gender differences in psychopathology symptoms among youth participants. Central symptoms such as anxious/depressed problems and aggressive behaviors were found to predict increases in other symptoms at later timepoints. Gender differences were observed, with variations in network structure and symptom centrality. The identified central and bridge symptoms may have important implications for screening and early intervention in youth psychopathology.
RESEARCH ON CHILD AND ADOLESCENT PSYCHOPATHOLOGY
(2023)
Meeting Abstract
Geriatrics & Gerontology
Peter Louras, Lisa Brown, Rowena Gomez, Stacie Warren, Kaci Fairchild
INNOVATION IN AGING
(2022)
Article
Psychology, Clinical
Ryan C. Thompson, Alexandra L. Montena, Kevin Liu, Jessica Watson, Stacie L. Warren
Summary: This study examined the impact of family income, family conflict, and acculturation on cognitive performance and found that higher family income and lower family conflict positively influenced performance, while the effect of acculturation scores was minimal. The study also concluded that the NIH-TB remains highly robust to individual differences in sociocultural factors in children between ages 9 and 10.
ARCHIVES OF CLINICAL NEUROPSYCHOLOGY
(2022)
Article
Psychology, Clinical
Kevin Liu, Joseph S. Nijmeh, Stacie L. Warren
Summary: The study tested the factor structure and validity of PSWQ, finding that method-factor and two-factor models were superior to a one-factor model, but the consistency in different samples still needs further validation.
