Article
Neurosciences
Jennifer A. Cummings, Benjamin Sipes, Daniel H. Mathalon, Ashish Raj
Summary: Understanding how complex dynamic activity propagates over a static structural network is an important question in neuroscience. Previous research has shown that linear graph-theoretic models can predict functional connectivity as well as non-linear neural simulations, with the advantage of lower computational cost. In this study, we propose a simple model that relates the eigenvalues of the structural connectivity and functional networks using the Gamma function, providing a reliable prediction of functional connectivity with a single model parameter. We also investigate the impact of local activity diffusion and long-range interhemispheric connectivity on the structure-function model, and find that accounting for these latent variables improves the prediction of functional connectivity, which are often excluded from traditional diffusion tensor imaging (DTI) methods.
FRONTIERS IN NEUROSCIENCE
(2022)
Article
Neurosciences
Jian Li, William H. Curley, Bastien Guerin, Darin D. Dougherty, Adrian Dalca, Bruce Fischl, Andreas Horn, Brian L. Edlow
Summary: This study created a comprehensive map of DMN subcortical connectivity through the combination of different datasets and methods, advancing understanding of the subcortical regions contributing to human consciousness.
Article
Medicine, General & Internal
Bei Rong, Huan Huang, Guoqing Gao, Limin Sun, Yuan Zhou, Ling Xiao, Huiling Wang, Gaohua Wang
Summary: This study compared the intra- and inter-network connectivity of large-scale resting state networks (RSNs) between a large sample of patients with schizophrenia and healthy controls. The results showed that the schizophrenia group exhibited increased intra-network connectivity in the default mode network (DMN) and decreased intra-network connectivity in the cerebellar network (CN). Additionally, the schizophrenia group showed decreased inter-network connectivity mainly involving the salience network (SN)-DMN, SN-language network (LN), and SN-CN, while increased inter-network connectivity in the SN-sensorimotor network (SMN) and SN-dorsal attention network (DAN).
JOURNAL OF CLINICAL MEDICINE
(2023)
Article
Multidisciplinary Sciences
Roberta Passiatore, Linda A. Antonucci, Thomas P. DeRamus, Leonardo Fazio, Giuseppe Stolfa, Leonardo Sportelli, Gianluca C. Kikidis, Giuseppe Blasi, Qiang Chen, Juergen Dukart, Aaron L. Goldman, Venkata S. Mattay, Teresa Popolizio, Antonio Rampino, Fabio Sambataro, Pierluigi Selvaggi, William Ulrich, Daniel R. Weinberger, Alessandro Bertolino, Vince D. Calhoun, Giulio Pergola
Summary: Alterations in fMRI-based brain functional network connectivity are associated with the genetic risk and subclinical symptoms of schizophrenia, with age-sensitive risk-related patterns emerging during adolescence and early adulthood. These patterns are also found in adult schizophrenia patients and young individuals with subclinical psychotic symptoms.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2023)
Article
Neuroimaging
Weiliang Yang, Xuexin Xu, Chunxiang Wang, Yongying Cheng, Yan Li, Shuli Xu, Jie Li
Summary: In this study, we computed dynamic functional network connectivity using the sliding window method in patients with schizophrenia and healthy controls. Our results showed that patients with schizophrenia had higher occurrences in the weakly connected state, positively correlated with negative symptoms. They also had fewer occurrences in the strongly connected state compared to healthy controls. Additionally, the dynamic functional network connectivity between certain brain networks was decreased in schizophrenia patients.
BRAIN IMAGING AND BEHAVIOR
(2022)
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)
Article
Engineering, Biomedical
Xiaoyi Chen, Jing Zhou, Pengfei Ke, Jiayuan Huang, Dongsheng Xiong, Yuanyuan Huang, Guolin Ma, Yuping Ning, Fengchun Wu, Kai Wu
Summary: Recent studies have shown that brain connectivity abnormalities are associated with schizophrenia. However, most previous studies using machine learning methods focused on MRI features of brain regions, ignoring brain connectivity and its network topology. In this study, we used a graph convolutional network (GCN) to classify schizophrenia patients based on both brain region and connectivity features derived from combined functional MRI and connectomics analysis. The results showed that the proposed method significantly improved classification performance compared to traditional machine learning and deep learning methods based on MRI features alone.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2023)
Article
Engineering, Industrial
Wei Wei, Yuting Liu, Weidong Yang
Summary: Protecting critical links helps build robust network structures. Selecting links through graph cuts is a practical method, but existing algorithms are not efficient for large-scale networks. We found an efficient mapping scheme to quickly select candidate links and refine the set with minimal shielding cost, achieving a 5-order of magnitude acceleration ratio compared to existing algorithms.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2023)
Article
Neurosciences
Rose A. Cooper, Kyle A. Kurkela, Simon W. Davis, Maureen Ritchey
Summary: This study investigated the functional connectivity of the posterior medial network (PMN) during movie watching in 136 participants, revealing distinct subsystems in the network - the Ventral and Dorsal PM subsystems, differentiated by their connectivity patterns and functional roles, with the Ventral subsystem showing sensitivity to event transitions and episodic memory.
Article
Mathematics, Interdisciplinary Applications
Wei Wei, Pengpeng Wang, Qinghui Zhang
Summary: Random failures pose a common threat to networks, and existing protection methods are not efficient enough and only suitable for small-scale networks. However, by using the optimal pruned tree-cut mapping, we have discovered an efficient and high-precision cut edge enumeration method that can quickly locate target cuts and their edges in large-scale networks, resulting in a cost-effective protection plan.
CHAOS SOLITONS & FRACTALS
(2023)
Article
Neurosciences
Zening Fu, Armin Iraji, Jessica A. Turner, Jing Sui, Robyn Miller, Godfrey D. Pearlson, Vince D. Calhoun
Summary: The study suggests that the brain reconfigures itself through the co-evolution of activity and connectivity, where schizophrenia patients spend more time in weakly connected and activated states and less time in strongly connected and activated states. Additionally, schizophrenia patients show lower efficiency in thalamic regions within strong states, and the atypical fractional occupancy of a specific brain state is correlated with individual attention performance.
Article
Health Care Sciences & Services
Sevdalina Kandilarova, Drozdstoy St. Stoyanov, Rositsa Paunova, Anna Todeva-Radneva, Katrin Aryutova, Michael Maes
Summary: This study investigated the differences in connectomes between psychiatric patients and healthy controls, revealing that dysfunction in the self-regulation of the salience network may underpin major mental disorders. Key connectome features differentiate mood disorders from schizophrenia, and can serve as potential imaging biomarkers.
JOURNAL OF PERSONALIZED MEDICINE
(2021)
Article
Neurosciences
Biqiu Tang, Wenjing Zhang, Jiang Liu, Shikuang Deng, Na Hu, Siyi Li, Youjin Zhao, Nian Liu, Jiaxin Zeng, Hengyi Cao, John A. Sweeney, Qiyong Gong, Shi Gu, Su Lui
Summary: Understanding how structural connectivity alterations affect dynamic function in schizophrenia patients, this study investigated the capacity of brain regions/networks to shift the system into easy-to-reach states. The results showed reduced controllability in default mode network, visual network, and subcortical regions, and increased controllability in somatomotor network. These alterations were also associated with impaired functional topology and increased temporal variability in dynamic functional connectivity.
Article
Clinical Neurology
Mark Bowren, Joel Bruss, Kenneth Manzel, Dylan Edwards, Charles Liu, Maurizio Corbetta, Daniel Tranel, Aaron D. Boes
Summary: Predicting chronic post-stroke outcomes is challenging due to individual variability and reliance on clinical heuristics. This study explores the use of lesion-behaviour mapping and structural and functional lesion networks to improve prediction of 12-month cognitive and motor outcomes in stroke patients. The results show that both methods can significantly predict variance in outcomes, with variations in performance for specific deficits.
Editorial Material
Biochemistry & Molecular Biology
Evelyn M. R. Lake
Summary: A recent study demonstrates the reconfiguration of spontaneous brain activity in awake mice using functional magnetic resonance imaging.
Article
Psychology, Clinical
Theresa K. Haidl, Dennis M. Hedderich, Marlene Rosen, Nathalie Kaiser, Mauro Seves, Thorsten Lichtenstein, Nora Penzel, Julian Wenzel, Lana Kambeitz-Ilankovic, Anne Ruef, David Popovic, Frauke Schultze-Lutter, Katharine Chisholm, Rachel Upthegrove, Raimo K. R. Salokangas, Christos Pantelis, Eva Meisenzahl, Stephen J. Wood, Paolo Brambilla, Stefan Borgwardt, Stephan Ruhrmann, Joseph Kambeitz, Nikolaos Koutsouleris
Summary: The study found that childhood trauma is a transdiagnostic risk factor for mental health disorders, possibly related to depressive symptoms. However, it is not possible to differentiate between different diagnosis-dependent psychopathologies, suggesting a multi-factorial pathogenesis.
PSYCHOLOGICAL MEDICINE
(2023)
Article
Clinical Neurology
Kristina Sabaroedin, Adeel Razi, Sidhant Chopra, Nancy Tran, Andrii Pozaruk, Zhaolin Chen, Amy Finlay, Barnaby Nelson, Kelly Allott, Mario Alvarez-Jimenez, Jessica Graham, Hok P. Yuen, Susy Harrigan, Vanessa Cropley, Sujit Sharma, Bharat Saluja, Rob Williams, Christos Pantelis, Stephen J. Wood, Brian O'Donoghue, Shona Francey, Patrick McGorry, Kevin Aquino, Alex Fornito
Summary: This study found that subcortical dysconnectivity is evident in the early stages of psychosis, while cortical dysfunction may emerge later in the illness. Nigrostriatal and striatothalamic signalling are closely related to striatal dopamine synthesis capacity, which is a robust marker for psychosis.
Article
Psychology, Developmental
Jan Stochl, Hannah Jones, Emma Soneson, Adam P. Wagner, Golam M. Khandaker, Stanley Zammit, Jon Heron, Gemma Hammerton, Edward T. Bullmore, Ray Dolan, Peter Fonagy, Ian M. Goodyer, J. Perez, Peter B. Jones
Summary: Characterizing patterns of mental phenomena in epidemiological studies of adolescents can provide insight into the latent organization of psychiatric disorders. This avoids the biases of chronicity and selection inherent in clinical samples, guides models of shared aetiology within psychiatric disorders and informs the development and implementation of interventions.
EUROPEAN CHILD & ADOLESCENT PSYCHIATRY
(2023)
Article
Psychology, Developmental
Jun-yan Ye, Xiao-jing Qin, Ji-fang Cui, Qian Ren, Lu-xia Jia, Ya Wang, Christos Pantelis, Raymond C. K. Chan
Summary: Autism spectrum disorders (ASD) are associated with diminished mental time travel (MTT) ability, which is not dependent on the characteristics of measures or demographic variables of the ASD individuals.
JOURNAL OF AUTISM AND DEVELOPMENTAL DISORDERS
(2023)
Review
Psychology, Clinical
James A. Karantonis, Sean P. Carruthers, Katherine E. Burdick, Christos Pantelis, Melissa Green, Susan L. Rossell, Matthew E. Hughes, Vanessa Cropley, Tamsyn E. Van Rheenen
Summary: Despite increasing research, there is no cohesive synthesis of studies examining differences in brain morphology according to patterns of cognitive function among schizophrenia-spectrum disorder and bipolar disorder individuals, and the findings do not provide strong evidence for unique patterns of brain morphology. Preliminary evidence suggests that cortical thickness reduction may be more strongly associated with cognitive impairment, while volumetric deficits may be largely tied to the presence of disease.
NEUROPSYCHOLOGY REVIEW
(2023)
Correction
Psychology, Clinical
James A. Karantonis, Sean P. Carruthers, Katherine E. Burdick, Christos Pantelis, Melissa Green, Susan L. Rossell, Matthew E. Hughes, Vanessa Cropley, Tamsyn E. Van Rheenen
NEUROPSYCHOLOGY REVIEW
(2023)
Article
Psychiatry
Nina M. Lutz, Sharon A. S. Neufeld, Roxanne W. Hook, Peter B. Jones, Edward T. Bullmore, Ian M. Goodyer, Tamsin J. Ford, Samuel R. Chamberlain, Paul O. Wilkinson
Summary: Non-suicidal self-injury (NSSI) is more common among women, possibly due to their higher levels of psychological distress. Women also show significant differences in sensation seeking and positive urgency compared to men. Psychological distress partially mediates the relationship between gender and NSSI.
ARCHIVES OF SUICIDE RESEARCH
(2023)
Article
Psychiatry
Brian O'Donoghue, Kelly Allott, Susy Harrigan, Franco Scalzo, Janine Ward, Sumudu Mallawaarachchi, Sarah Whitson, Lara Baldwin, Jessica Graham, Edward Mullen, Craig MacNeil, Dylan Alexander, Stephen J. Wood, Michael Berk, Mario Alvarez-Jimenez, Andrew Thompson, Alex Fornito, Hok Pan Yuen, Barnaby Nelson, Shona M. Francey, Patrick McGorry
Summary: This study aimed to analyze the effects of medication and non-medication factors on the physical health of individuals with a first episode of psychosis. The findings suggest that some of the metabolic complications observed in psychotic disorders may not be solely attributed to medication. This highlights the importance of providing early physical health interventions in the course of first episode psychosis.
EARLY INTERVENTION IN PSYCHIATRY
(2023)
Letter
Psychiatry
Tsutomu Takahashi, Daiki Sasabayashi, Stephen J. Wood, Patrick D. McGorry, Michio Suzuki, Dennis Velakoulis, Christos Pantelis
SCHIZOPHRENIA RESEARCH
(2023)
Article
Pharmacology & Pharmacy
Sam Mostafa, Thomas M. M. Polasek, Chad Bousman, Amin Rostami-Hodjegan, Leslie J. J. Sheffield, Ian Everall, Christos Pantelis, Carl M. J. Kirkpatrick
Summary: Studies that focus on individual covariates and ignore their interactions may not be adequate for model-informed precision dosing (MIPD). This study aimed to construct virtual twins (VTs) of real patients receiving clozapine with interacting covariates related to genetics and environment and to determine the impact of these interacting covariates on predicted clozapine plasma concentrations. The results showed that increasing covariate virtualization improved the accuracy and reliability of the prediction models.
CPT-PHARMACOMETRICS & SYSTEMS PHARMACOLOGY
(2023)
Editorial Material
Neurosciences
Edward T. Bullmore, Alex Fornito
BIOLOGICAL PSYCHIATRY
(2023)
Article
Clinical Neurology
Tamsyn E. Van Rheenen, Sue M. Cotton, Orwa Dandash, Rebecca E. Cooper, Elysha Ringin, Rothanthi Daglas-Georgiou, Kelly Allott, Yann Chye, Chao Suo, Craig Macneil, Melissa Hasty, Karen Hallam, Patrick McGorry, Alex Fornito, Murat Yucel, Christos Pantelis, Michael Berk
Summary: Despite reports of altered brain morphology in established bipolar disorder, this study found that individuals after their first manic episode did not show differences in cortical thickness or gyrification but had increased cortical surface area in specific regions compared to healthy controls.
PROGRESS IN NEURO-PSYCHOPHARMACOLOGY & BIOLOGICAL PSYCHIATRY
(2023)
Article
Psychiatry
Kelly Allott, Hok Pan Yuen, Lara Baldwin, Brian O'Donoghue, Alex Fornito, Sidhant Chopra, Barnaby Nelson, Jessica Graham, Melissa J. J. Kerr, Tina-Marie Proffitt, Aswin Ratheesh, Mario Alvarez-Jimenez, Susy Harrigan, Ellie Brown, Andrew D. D. Thompson, Christos Pantelis, Michael Berk, Patrick D. D. McGorry, Shona M. M. Francey, Stephen J. J. Wood
Summary: The drivers of cognitive change following first-episode psychosis are not well understood. This study conducted a secondary analysis of a randomized, triple-blind, placebo-controlled trial to investigate the role of antipsychotic medication on cognitive performance in patients with first-episode psychotic disorder. The results showed that the medication group exhibited decline in verbal learning and memory, while the placebo group showed improvement.
TRANSLATIONAL PSYCHIATRY
(2023)
Article
Psychiatry
Marianne Oldehinkel, Jeggan Tiego, Kristina Sabaroedin, Sidhant Chopra, Shona M. Francey, Brian O'Donoghue, Vanessa Cropley, Barnaby Nelson, Jessica Graham, Lara Baldwin, Hok Pan Yuen, Kelly Allott, Mario Alvarez-Jimenez, Susy Harrigan, Christos Pantelis, Stephen J. Wood, Patrick McGorry, Mark A. Bellgrove, Alex Fornito
Summary: Psychotic illness and subclinical psychosis-like experiences are associated with dysfunction in the cortico-striatal system. This study reveals the presence of multiple overlapping functional connectivity modes in the striatum and shows that these modes are different in patients compared to controls. The findings suggest that variations in these modes may serve as neurobiological markers across the psychosis continuum.
TRANSLATIONAL PSYCHIATRY
(2023)
Article
Neurosciences
Isaac Sebenius, Jakob Seidlitz, Varun Warrier, Richard A. I. Bethlehem, Aaron Alexander-Bloch, Travis T. Mallard, Rafael Romero Garcia, Edward T. Bullmore, Sarah E. Morgan
Summary: MIND is a new method that estimates within-subject similarity between cortical areas by comparing the divergence of their multivariate distributions of MRI features. Compared to previous methods, MIND networks are more reliable, consistent with cortical structure, and correlated with axonal connectivity. MIND networks are also more sensitive to aging and gene co-expression, and provide a biologically validated approach to cortical connectomics using MRI data.
NATURE NEUROSCIENCE
(2023)
