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Cortical connectome

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https://www.readbyqxmd.com/read/29771288/sex-differences-in-the-adult-human-brain-evidence-from-5216-uk-biobank-participants
#1
Stuart J Ritchie, Simon R Cox, Xueyi Shen, Michael V Lombardo, Lianne M Reus, Clara Alloza, Mathew A Harris, Helen L Alderson, Stuart Hunter, Emma Neilson, David C M Liewald, Bonnie Auyeung, Heather C Whalley, Stephen M Lawrie, Catharine R Gale, Mark E Bastin, Andrew M McIntosh, Ian J Deary
Sex differences in the human brain are of interest for many reasons: for example, there are sex differences in the observed prevalence of psychiatric disorders and in some psychological traits that brain differences might help to explain. We report the largest single-sample study of structural and functional sex differences in the human brain (2750 female, 2466 male participants; mean age 61.7 years, range 44-77 years). Males had higher raw volumes, raw surface areas, and white matter fractional anisotropy; females had higher raw cortical thickness and higher white matter tract complexity...
May 16, 2018: Cerebral Cortex
https://www.readbyqxmd.com/read/29751242/local-functional-connectivity-alterations-in-schizophrenia-bipolar-disorder-and-major-depressive-disorder
#2
Yange Wei, Miao Chang, Fay Y Womer, Qian Zhou, Zhiyang Yin, Shengnan Wei, Yifang Zhou, Xiaowei Jiang, Xudong Yao, Jia Duan, Ke Xu, Xi-Nian Zuo, Yanqing Tang, Fei Wang
BACKGROUND: Local functional connectivity (FC) indicates local or short-distance functional interactions and may serve as a neuroimaging marker to investigate the human brain connectome. Local FC alterations suggest a disrupted balance in the local functionality of the whole brain network and are increasingly implicated in schizophrenia (SZ), bipolar disorder (BD), and major depressive disorder (MDD). METHODS: We aim to examine the similarities and differences in the local FC across SZ, BD, and MDD...
April 10, 2018: Journal of Affective Disorders
https://www.readbyqxmd.com/read/29742386/heritability-estimates-of-cortical-anatomy-the-influence-and-reliability-of-different-estimation-strategies
#3
Sejal Patel, Raihaan Patel, Min Tae M Park, Mario Masellis, Jo Knight, M Mallar Chakravarty
Twin study designs have been previously used to investigate the heritability of neuroanatomical measures, such as regional cortical volumes. Volume can be fractionated into surface area and cortical thickness, where both measures are considered to have independent genetic and environmental bases. Region of interest (ROI) and vertex-wise approaches have been used to calculate heritability of cortical thickness and surface area in twin studies. In our study, we estimate heritability using the Human Connectome Project magnetic resonance imaging dataset composed of healthy young twin and non-twin siblings (mean age of 29, sample size of 757)...
May 6, 2018: NeuroImage
https://www.readbyqxmd.com/read/29722805/network-based-asymmetry-of-the-human-auditory-system
#4
Bratislav Mišic, Richard F Betzel, Alessandra Griffa, Marcel A de Reus, Ye He, Xi-Nian Zuo, Martijn P van den Heuvel, Patric Hagmann, Olaf Sporns, Robert J Zatorre
Converging evidence from activation, connectivity, and stimulation studies suggests that auditory brain networks are lateralized. Here we show that these findings can be at least partly explained by the asymmetric network embedding of the primary auditory cortices. Using diffusion-weighted imaging in 3 independent datasets, we investigate the propensity for left and right auditory cortex to communicate with other brain areas by quantifying the centrality of the auditory network across a spectrum of communication mechanisms, from shortest path communication to diffusive spreading...
May 2, 2018: Cerebral Cortex
https://www.readbyqxmd.com/read/29722629/cognitive-function-disease-burden-and-the-structural-connectome-in-systemic-lupus-erythematosus
#5
S J Wiseman, M E Bastin, E N Amft, J F F Belch, S H Ralston, J M Wardlaw
Objective To investigate brain structural connectivity in relation to cognitive abilities and systemic damage in systemic lupus erythematosus (SLE). Methods Structural and diffusion MRI data were acquired from 47 patients with SLE. Brains were segmented into 85 cortical and subcortical regions and combined with whole brain tractography to generate structural connectomes using graph theory. Global cognitive abilities were assessed using a composite variable g, derived from the first principal component of three common clinical screening tests of neurological function...
January 1, 2018: Lupus
https://www.readbyqxmd.com/read/29710118/disorganized-gyrification-network-properties-during-the-transition-to-psychosis
#6
Tushar Das, Stefan Borgwardt, Daniel J Hauke, Fabienne Harrisberger, Undine E Lang, Anita Riecher-Rössler, Lena Palaniyappan, André Schmidt
Importance: There is urgent need to improve the limited prognostic accuracy of clinical instruments to predict psychosis onset in individuals at clinical high risk (CHR) for psychosis. As yet, no reliable biological marker has been established to delineate CHR individuals who will develop psychosis from those who will not. Objectives: To investigate abnormalities in a graph-based gyrification connectome in the early stages of psychosis and to test the accuracy of this systems-based approach to predict a transition to psychosis among CHR individuals...
April 25, 2018: JAMA Psychiatry
https://www.readbyqxmd.com/read/29684644/a-gyral-coordinate-system-predictive-of-fibre-orientations
#7
Michiel Cottaar, Matteo Bastiani, Charles Chen, Krikor Dikranian, David Van Essen, Timothy E Behrens, Stamatios N Sotiropoulos, Saad Jbabdi
When axonal fibres approach or leave the cortex, their trajectories tend to closely follow the cortical convolutions. To quantify this tendency, we propose a three-dimensional coordinate system based on the gyral geometry. For every voxel in the brain, we define a "radial" axis orthogonal to nearby surfaces, a "sulcal" axis along the sulcal depth gradient that preferentially points from deep white matter to the gyral crown, and a "gyral" axis aligned with the long axis of the gyrus...
April 20, 2018: NeuroImage
https://www.readbyqxmd.com/read/29664910/a-computational-model-of-shared-fine-scale-structure-in-the-human-connectome
#8
J Swaroop Guntupalli, Ma Feilong, James V Haxby
Variation in cortical connectivity profiles is typically modeled as having a coarse spatial scale parcellated into interconnected brain areas. We created a high-dimensional common model of the human connectome to search for fine-scale structure that is shared across brains. Projecting individual connectivity data into this new common model connectome accounts for substantially more variance in the human connectome than do previous models. This newly discovered shared structure is closely related to fine-scale distinctions in representations of information...
April 17, 2018: PLoS Computational Biology
https://www.readbyqxmd.com/read/29663098/alterations-in-normal-aging-revealed-by-cortical-brain-network-constructed-using-ibaspm
#9
Wan Li, Chunlan Yang, Feng Shi, Qun Wang, Shuicai Wu, Wangsheng Lu, Shaowu Li, Yingnan Nie, Xin Zhang
Normal aging has been linked with the decline of cognitive functions, such as memory and executive skills. One of the prominent approaches to investigate the age-related alterations in the brain is by examining the cortical brain connectome. IBASPM is a toolkit to realize individual atlas-based volume measurement. Hence, this study seeks to determine what further alterations can be revealed by cortical brain networks formed by IBASPM-extracted regional gray matter volumes. We found the reduced strength of connections between the superior temporal pole and middle temporal pole in the right hemisphere, global hubs as the left fusiform gyrus and right Rolandic operculum in the young and aging groups, respectively, and significantly reduced inter-module connection of one module in the aging group...
April 16, 2018: Brain Topography
https://www.readbyqxmd.com/read/29622496/multi-site-diagnostic-classification-of-schizophrenia-using-discriminant-deep-learning-with-functional-connectivity-mri
#10
Ling-Li Zeng, Huaning Wang, Panpan Hu, Bo Yang, Weidan Pu, Hui Shen, Xingui Chen, Zhening Liu, Hong Yin, Qingrong Tan, Kai Wang, Dewen Hu
BACKGROUND: A lack of a sufficiently large sample at single sites causes poor generalizability in automatic diagnosis classification of heterogeneous psychiatric disorders such as schizophrenia based on brain imaging scans. Advanced deep learning methods may be capable of learning subtle hidden patterns from high dimensional imaging data, overcome potential site-related variation, and achieve reproducible cross-site classification. However, deep learning-based cross-site transfer classification, despite less imaging site-specificity and more generalizability of diagnostic models, has not been investigated in schizophrenia...
March 23, 2018: EBioMedicine
https://www.readbyqxmd.com/read/29618992/fronto-temporal-connectivity-predicts-ect-outcome-in-major-depression
#11
Amber M Leaver, Benjamin Wade, Megha Vasavada, Gerhard Hellemann, Shantanu H Joshi, Randall Espinoza, Katherine L Narr
Background: Electroconvulsive therapy (ECT) is arguably the most effective available treatment for severe depression. Recent studies have used MRI data to predict clinical outcome to ECT and other antidepressant therapies. One challenge facing such studies is selecting from among the many available metrics, which characterize complementary and sometimes non-overlapping aspects of brain function and connectomics. Here, we assessed the ability of aggregated, functional MRI metrics of basal brain activity and connectivity to predict antidepressant response to ECT using machine learning...
2018: Frontiers in Psychiatry
https://www.readbyqxmd.com/read/29616302/alterations-in-white-matter-network-topology-contribute-to-freezing-of-gait-in-parkinson-s-disease
#12
Julie M Hall, James M Shine, Kaylena A Ehgoetz Martens, Moran Gilat, Kathryn M Broadhouse, Jennifer Y Y Szeto, Courtney C Walton, Ahmed A Moustafa, Simon J G Lewis
Freezing of gait (FOG) is a common symptom in advanced Parkinson's disease (PD). Despite current advances, the neural mechanisms underpinning this disturbance remain poorly understood. To this end, we investigated the structural organisation of the white matter connectome in PD freezers and PD non-freezers. We hypothesized that freezers would show an altered network architecture, which could hinder the effective information processing that characterizes the disorder. Twenty-six freezers and twenty-four well-matched non-freezers were included in this study...
April 3, 2018: Journal of Neurology
https://www.readbyqxmd.com/read/29615790/multivariate-granger-causality-unveils-directed-parietal-to-prefrontal-cortex-connectivity-during-task-free-mri
#13
Andrea Duggento, Luca Passamonti, Gaetano Valenza, Riccardo Barbieri, Maria Guerrisi, Nicola Toschi
While a large body of research has focused on the study of functional brain "connectivity", few investigators have focused on directionality of brain-brain interactions which, in spite of the mostly bidirectional anatomical substrates, cannot be assumed to be symmetrical. We employ a multivariate Granger Causality-based approach to estimating directed in-network interactions and quantify its advantages using extensive realistic synthetic BOLD data simulations to match Human Connectome Project (HCP) data specification...
April 3, 2018: Scientific Reports
https://www.readbyqxmd.com/read/29588051/data-driven-subtyping-of-executive-function-related-behavioral-problems-in-children
#14
Joe Bathelt, Joni Holmes, Duncan E Astle
OBJECTIVE: Executive functions (EF) are cognitive skills that are important for regulating behavior and for achieving goals. Executive function deficits are common in children who struggle in school and are associated with multiple neurodevelopmental disorders. However, there is also considerable heterogeneity across children, even within diagnostic categories. This study took a data-driven approach to identify distinct clusters of children with common profiles of EF-related difficulties, and then identified patterns of brain organization that distinguish these data-driven groups...
April 2018: Journal of the American Academy of Child and Adolescent Psychiatry
https://www.readbyqxmd.com/read/29570910/adult-brain-activation-during-visual-learning-and-memory-tasks-an-experimental-approach-to-translational-neuroscience
#15
Ferihan Popova, Antoaneta Kovacheva, Petar Garov, Stefan Sivkov, Sevdalina Kandilarova, Nickolay Sirakov, Magdalena Stoeva, Kichka G Velkova
RATIONALE, AIMS, AND OBJECTIVES: Human brain connectome is a new and rapidly developing field in neuroscience. The pattern of structural and functional connectivity in the brain is not fixed but is continuously changing in response to experiences. Exploring these phenomena opens a powerful arsenal of analyses and computational approaches that could provide important new insights into clinical and cognitive neuroscience. The aim of the present study was to investigate the activations of adult brain cortical areas during a memory task performance by using functional MRI with a specific focus on gender differences...
March 23, 2018: Journal of Evaluation in Clinical Practice
https://www.readbyqxmd.com/read/29551458/distinct-functional-and-structural-neural-underpinnings-of-working-memory
#16
Max M Owens, Bryant Duda, Lawrence H Sweet, James MacKillop
Working memory (WM), the short-term abstraction and manipulation of information, is an essential neurocognitive process in daily functioning. Few studies have concurrently examined the functional and structural neural correlates of WM and the current study did so to characterize both overlapping and unique associations. Participants were a large sample of adults from the Human Connectome Project (N = 1064; 54% female) who completed an in-scanner visual N-back WM task. The results indicate a clear dissociation between BOLD activation during the WM task and brain structure in relation to performance...
March 15, 2018: NeuroImage
https://www.readbyqxmd.com/read/29549287/function-specific-and-enhanced-brain-structural-connectivity-mapping-via-joint-modeling-of-diffusion-and-functional-mri
#17
Shu-Hsien Chu, Keshab K Parhi, Christophe Lenglet
A joint structural-functional brain network model is presented, which enables the discovery of function-specific brain circuits, and recovers structural connections that are under-estimated by diffusion MRI (dMRI). Incorporating information from functional MRI (fMRI) into diffusion MRI to estimate brain circuits is a challenging task. Usually, seed regions for tractography are selected from fMRI activation maps to extract the white matter pathways of interest. The proposed method jointly analyzes whole brain dMRI and fMRI data, allowing the estimation of complete function-specific structural networks instead of interactively investigating the connectivity of individual cortical/sub-cortical areas...
March 16, 2018: Scientific Reports
https://www.readbyqxmd.com/read/29520641/structural-connectome-with-high-angular-resolution-diffusion-imaging-mri-assessing-the-impact-of-diffusion-weighting-and-sampling-on-graph-theoretic-measures
#18
Giuseppina Caiazzo, Michele Fratello, Federica Di Nardo, Francesca Trojsi, Gioacchino Tedeschi, Fabrizio Esposito
PURPOSE: Advances in computational network analysis have enabled the characterization of topological properties of human brain networks (connectomics) from high angular resolution diffusion imaging (HARDI) MRI structural measurements. In this study, the effect of changing the diffusion weighting (b value) and sampling (number of gradient directions) was investigated in ten healthy volunteers, with specific focus on graph theoretical network metrics used to characterize the human connectome...
May 2018: Neuroradiology
https://www.readbyqxmd.com/read/29503515/riccati-regularized-precision-matrices-for-neuroimaging
#19
Nicolas Honnorat, Christos Davatzikos
The introduction of graph theory in neuroimaging has provided invaluable tools for the study of brain connectivity. These methods require the definition of a graph, which is typically derived by estimating the effective connectivity between brain regions through the optimization of an ill-posed inverse problem. Considerable efforts have been devoted to the development of methods extracting sparse connectivity graphs. The present paper aims at highlighting the benefits of an alternative approach. We investigate low-rank L2 regularized matrices recently introduced under the denomination of Riccati regularized precision matrices...
June 2017: Information Processing in Medical Imaging: Proceedings of the ... Conference
https://www.readbyqxmd.com/read/29497367/functional-connectomes-in-time-domain-from-simulated-neurotransmitter-release-based-on-electrocorticograms
#20
You Zhai, Jian Zhai
This paper uses a newly defined functional connectome and connectome values calculated in time domain of simulated neurotransmitter release (NTR) from an electrocorticogram (ECoG) to distinguish between conditioned and unconditioned stimuli. The NTR derived from multiple channels releasing one quantum at the same time suggests that one functional connectome occurs across those channels at that time. During the first 600 ms after conditional stimulation, the connectome indexes of the 64-channel NTR trains were sorted from the 8 to 20 Hz band obtained from filtered rabbit ECoGs recorded from the visual cortices...
2018: Frontiers in Behavioral Neuroscience
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