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Fiber Connectivity Integrated Brain Activation Detection [chapter]

Burak Yoldemir, Bernard Ng, Todd S. Woodward, Rafeef Abugharbieh
2013 Lecture Notes in Computer Science  
To mitigate the effects of noise, we propose incorporating anatomical connectivity into brain activation detection as motivated by how the functional integration of distinct brain areas is facilitated  ...  In this work, we formulate activation detection as a probabilistic graph-based segmentation problem with fiber networks estimated from diffusion MRI (dMRI) data serving as a prior.  ...  Conclusions We proposed a novel fiber connectivity integrated approach for group activation inference.  ... 
doi:10.1007/978-3-642-38868-2_12 pmid:24683964 fatcat:rxdjegwvpzhk3ambzohryfhg64

Implications of Inconsistencies between fMRI and dMRI on Multimodal Connectivity Estimation [chapter]

Bernard Ng, Gael Varoquaux, Jean Baptiste Poline, Bertrand Thirion
2013 Lecture Notes in Computer Science  
We further exemplify the inconsistencies between FC and AC estimates by integrating them as priors into activation detection and demonstrating significant differences in their detection sensitivity.  ...  Importantly, we illustrate that these inconsistencies can be useful in fMRI-dMRI integration for improving brain connectivity estimation.  ...  Integrating them as priors for task activation detection further demonstrated their inconsistencies.  ... 
doi:10.1007/978-3-642-40760-4_81 fatcat:jfrixabmenebxbuuhrnl4pjofu

A Novel Sparse Graphical Approach for Multimodal Brain Connectivity Inference [chapter]

Bernard Ng, Gaël Varoquaux, Jean-Baptiste Poline, Bertrand Thirion
2012 Lecture Notes in Computer Science  
Moreover, we demonstrated that incorporating a connectivity prior learned with our multimodal connectivity estimation approach improves activation detection.  ...  In this paper, we propose a novel multimodal integration approach based on sparse Gaussian graphical model for estimating brain connectivity.  ...  The use of fiber bundle shapes to predict activated brain areas has also been explored [5] .  ... 
doi:10.1007/978-3-642-33415-3_87 fatcat:byrnkq7kjjh4ddxfhukccnjrmy

Multimodal Visualization of DTI and fMRI Data Using Illustrative Methods [chapter]

Silvia Born, Werner Jainek, Mario Hlawitschka, Gerik Scheuermann, Christos Trantakis, Jürgen Meixensberger, Dirk Bartz
2009 Bildverarbeitung für die Medizin 2009  
Reconstructed nerve fibers connecting functional areas with each other and lower brain areas are embedded into the complex rendering pipeline.  ...  Jainek et al. [1] applied illustrative rendering techniques to obtain a high-quality representation of the location and characteristic of brain activation areas (derived from MRI and fMRI).  ...  Integration of nerve fibers The exploration of diffusion tensor data allows insight into the path of nerve fibers and thus the connectivity of brain areas.  ... 
doi:10.1007/978-3-540-93860-6_2 dblp:conf/bildmed/BornJHSTMB09 fatcat:pupg7lsharcijpq6wckmooyurq

Activated Fibers: Fiber-Centered Activation Detection in Task-Based FMRI [chapter]

Jinglei Lv, Lei Guo, Kaiming Li, Xintao Hu, Dajiang Zhu, Junwei Han, Tianming Liu
2011 Lecture Notes in Computer Science  
the GLM to detect Activated Fibers (AFs).  ...  Our results demonstrate that the detected AFs connect not only most of the activated brain regions detected via traditional voxel-based GLM method, but also many other brain regions, suggesting that the  ...  In comparison with traditional voxel-based GLM activation detection, our framework is able to detect more activated brain regions that are connected by white matter fibers with similar temporal patterns  ... 
doi:10.1007/978-3-642-22092-0_47 fatcat:r5uhpajlxvarjlnkcjlm5jhoiu

Detecting Brain State Changes via Fiber-Centered Functional Connectivity Analysis

Xiang Li, Chulwoo Lim, Kaiming Li, Lei Guo, Tianming Liu
2012 Neuroinformatics  
The basic idea is that functional connectivity patterns of all fiber-connected cortical voxels are concatenated into a descriptive functional feature vector to represent the brain's state, and the temporal  ...  the proposed brain state change detection approach.  ...  This result further suggests that functional connectivity of the two ends of axonal fibers can be a good indicator of how active the brain is and can be used for functional brain state detection, e.g.,  ... 
doi:10.1007/s12021-012-9157-y pmid:22941508 pmcid:PMC3908655 fatcat:bhgwrg4ysjhn3m7v3qp6pg3n44

Cardiovascular Risk Factors and Brain Health: Impact on Long-Range Cortical Connections and Cognitive Performance

Barbara K Marebwa, Robert J Adams, Gayenell S Magwood, Alexandra Basilakos, Martina Mueller, Chris Rorden, Julius Fridriksson, Leonardo Bonilha
2018 Journal of the American Heart Association : Cardiovascular and Cerebrovascular Disease  
Magnetic resonance imaging techniques exploring the integrity of neuronal fiber connectivity within white matter networks supporting cognitive processing could be used to measure the impact of cardiovascular  ...  Methods and Results We assessed the relationship between verbal IQ and brain network integrity and the effect of cardiovascular risk factors on network integrity by constructing whole-brain structural  ...  We also constructed a second model to adjust for key covariates with whole-brain fiber density, age, CCI, education, and physical activity (Community Healthy Activities Model Program for Seniors) predicting  ... 
doi:10.1161/jaha.118.010054 pmid:30520672 pmcid:PMC6405561 fatcat:fwodzfugfbdzlmmtu7p4ogke74

Fusing DTI and fMRI data: A survey of methods and applications

Dajiang Zhu, Tuo Zhang, Xi Jiang, Xintao Hu, Hanbo Chen, Ning Yang, Jinglei Lv, Junwei Han, Lei Guo, Tianming Liu
2014 NeuroImage  
brain structure and function and their relationships simultaneously.  ...  Given the intrinsic integration of WM/GM and the complementary information embedded in DTI/fMRI data, it is natural and well-justified to combine these two neuroimaging modalities together to investigate  ...  This is achieved because task-based fMRI activation detection is considered as a reliable way to locate the brain regions corresponding to a specific function.  ... 
doi:10.1016/j.neuroimage.2013.09.071 pmid:24103849 pmcid:PMC4012015 fatcat:f6swsx2dnfbxdp3uifg3k3wfw4

Measuring Cortical Connectivity in Alzheimer's Disease as a Brain Neural Network Pathology: Toward Clinical Applications

Stefan Teipel, Michel J. Grothe, Juan Zhou, Jorge Sepulcre, Martin Dyrba, Christian Sorg, Claudio Babiloni
2016 Journal of the International Neuropsychological Society  
MCI and mild AD compared to Controls (1) impairment of callosal (splenium), thalamic, and anterior–posterior white matter bundles; (2) reduced correlation of resting state blood oxygen level-dependent activity  ...  across several intrinsic brain circuits including default mode and attention-related networks; and (3) abnormal power and functional coupling of resting state cortical EEG rhythms.  ...  At rest, macroscopic brain activity fluctuates slowly at frequencies below 0.1 Hz; such fluctuations are detectable by rs-fMRI.  ... 
doi:10.1017/s1355617715000995 pmid:26888613 fatcat:ugywcnr6grbbvfmme5l6tzuwqi

In Vivo Optogenetic Modulation with Simultaneous Neural Detection Using Microelectrode Array Integrated with Optical Fiber

Penghui Fan, Yilin Song, Shengwei Xu, Yuchuan Dai, Yiding Wang, Botao Lu, Jingyu Xie, Hao Wang, Xinxia Cai
2020 Sensors  
In this study, an optical fiber and a microelectrode array were integrated through hot-melt adhesive bonding, which combined optogenetics and electrophysiological detection technology to achieve neuromodulation  ...  We carried out the experiments on the activation and electrophysiological detection of infected neurons at the depth range of 900–1250 μm in the brain which covers hippocampal CA1 and a part of the upper  ...  The changes of neuronal activity in a large range (depth from 900 to 1250 μm in the brain) under optogenetic control were detected and the infected neurons were successfully activated by optical stimulation  ... 
doi:10.3390/s20164526 pmid:32823521 fatcat:s6glq3wj7beojem5c32ofug4du

Open brain simulator estimating internal state of human through external observation towards human biomechatronics

Mihoko Otake, Toshihisa Takagi, Hajime Asama
2008 2008 IEEE International Conference on Robotics and Automation  
Neural activities of somatosensory area and Purkinje cell were calculated from motion capture data.  ...  Macroscopic anatomical nervous systems model was built which can be connected to the musculoskeletal model.  ...  The secondary endings (II) which detects length of the muscles are connected to only nuclear chain fibers, while the primary endings (Ia) which detect length and stretch speed of the muscles are connected  ... 
doi:10.1109/robot.2008.4543349 dblp:conf/icra/OtakeTA08 fatcat:cptccvev3ffz7kpg5m6axsu3bi

Functional and Structural Connectivity Between the Perigenual Anterior Cingulate and Amygdala in Bipolar Disorder

Fei Wang, Jessica H. Kalmar, Yong He, Marcel Jackowski, Lara G. Chepenik, Erin E. Edmiston, Karen Tie, Gaolang Gong, Maulik P. Shah, Monique Jones, Jodi Uderman, R. Todd Constable (+1 others)
2009 Biological Psychiatry  
This study investigates the potential disruptions in pACC-amygdala functional connectivity and associated abnormalities in white matter that provides structural connections between the two brain regions  ...  Evidence implicates abnormalities in their connectivity in BD.  ...  connectivity differences in the absence of activation differences within the connected brain regions (38) .  ... 
doi:10.1016/j.biopsych.2009.03.023 pmid:19427632 pmcid:PMC2830492 fatcat:nwozgbwh5bdhln34ax7vno32ru

Combining structural and functional neuroimaging data for studying brain connectivity: A review

Elena Rykhlevskaia, Gabriele Gratton, Monica Fabiani
2008 Psychophysiology  
of integration.  ...  Different brain areas are thought to be integrated into large-scale networks to support cognitive function.  ...  Even in that case some assumptions need to be made about how to match the neural response generators detected by functional neuroimaging and the corresponding fibers detected from structural images.  ... 
doi:10.1111/j.1469-8986.2007.00621.x pmid:17995910 fatcat:h3mui3cuonfr5obnxq5ul2imcu

Neuroimaging and electroencephalographic (EEG) methods for investigating neural circuits in mental disorders

Mario Minor Murakami Junior, Marcelo Q. Hoexter, Elizabeth Shephard
2019 Revista de Medicina  
These measures can provide indexes of white matter fiber density and integrity, orientation, and myelination.  ...  Therefore, DTI yields a quantitative analysis of anatomical connectivity in the white matter fibers throughout the brain in vivo.  ... 
doi:10.11606/issn.1679-9836.v98i4p259-266 fatcat:pkyxftl6obhunbtrgbs43cmgjq

Tools for Resolving Functional Activity and Connectivity within Intact Neural Circuits

Joshua H. Jennings, Garret D. Stuber
2014 Current Biology  
Here, we review recent technological advances designed to precisely monitor and manipulate neural circuit activity.  ...  While the inherent complexity of discrete neural circuits has proven difficult to decipher, many parallel methodological developments promise to help delineate the function and connectivity of molecularly  ...  Our work is supported by the National Institute on Drug Abuse (DA032750) and the National Institute of Alcoholism and Alcohol Abuse (AA022234 and AA011605), The Klarman Family Foundation, The Brain and  ... 
doi:10.1016/j.cub.2013.11.042 pmid:24405680 pmcid:PMC4075962 fatcat:6a74wcucxbbb5ches6us2xqqmq
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