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Decoding brain activity using a large-scale probabilistic functional-anatomical atlas of human cognition [article]

Timothy N Rubin, Oluwasanmi Koyejo, Krzysztof J Gorgolewski, Michael N Jones, Russell A Poldrack, Tal Yarkoni
2016 bioRxiv   pre-print
A central goal of cognitive neuroscience is to decode human brain activity--i.e., to infer mental processes from observed patterns of whole-brain activation.  ...  Previous decoding efforts have focused on classifying brain activity into a small set of discrete cognitive states.  ...  This work was supported by National Institute Institute of Mental Health (NIMH) award  ... 
doi:10.1101/059618 fatcat:skauhiexbvhdjcqulwdeb67dfq

Decoding brain activity using a large-scale probabilistic functional-anatomical atlas of human cognition

Timothy N. Rubin, Oluwasanmi Koyejo, Krzysztof J. Gorgolewski, Michael N. Jones, Russell A. Poldrack, Tal Yarkoni, Samuel J. Gershman
2017 PLoS Computational Biology  
A central goal of cognitive neuroscience is to decode human brain activityi.e., to infer mental processes from observed patterns of wholebrain activation.  ...  Previous decoding efforts have focused on classifying brain activity into a small set of discrete cognitive states.  ...  This work was supported by National Institute Institute of Mental Health (NIMH) award  ... 
doi:10.1371/journal.pcbi.1005649 pmid:29059185 pmcid:PMC5683652 fatcat:lb43b2o72jehrahuzifvkuysri

Fine-grain atlases of functional modes for fMRI analysis [article]

Kamalaker Dadi, Antonia Machlouzarides-Shalit, Krzysztof J. Gorgolewski, Demian Wassermann
2020 arXiv   pre-print
Results highlight the importance of using high-dimensional "soft" functional atlases, to represent and analyse brain activity while capturing its functional gradients.  ...  For this reason, brain images are typically summarized in a few signals, for instance reducing voxel-level measures with brain atlases or functional modes.  ...  The additional spatial regularity shows the benefit of large-scale training size in learning a data-driven based functional atlas. Appendix A.  ... 
arXiv:2003.05405v1 fatcat:3ed452xtnnfylbvcveixb3hdqa

The Human Brainnetome Atlas: A New Brain Atlas Based on Connectional Architecture

Lingzhong Fan, Hai Li, Junjie Zhuo, Yu Zhang, Jiaojian Wang, Liangfu Chen, Zhengyi Yang, Congying Chu, Sangma Xie, Angela R. Laird, Peter T. Fox, Simon B. Eickhoff (+2 others)
2016 Cerebral Cortex  
The human brain atlases that allow correlating brain anatomy with psychological and cognitive functions are in transition from ex vivo histology-based printed atlases to digital brain maps providing multimodal  ...  The resulting human Brainnetome Atlas, with 210 cortical and 36 subcortical subregions, provides a fine-grained, cross-validated atlas and contains information on both anatomical and functional connections  ...  Conflict of Interest: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.  ... 
doi:10.1093/cercor/bhw157 pmid:27230218 pmcid:PMC4961028 fatcat:aioxtix5drfrtbzquclnafmtpi

Deep learning models of cognitive processes constrained by human brain connectomes [article]

Yu Zhang, Nicolas et Farrugia, Pierre Bellec
2021 bioRxiv   pre-print
We evaluate the decoding model using a large task-fMRI database from the human connectome project.  ...  Brain decoding aims to infer cognitive states from recordings of brain activity.  ...  As the abstract representation of human connectome, a brain graph captures the network organization of the brain structure and function, by using anatomical and functional connectivity, in both healthy  ... 
doi:10.1101/2021.10.12.464145 fatcat:vhgq5lpdbvhsdlrcker3efxthq

Voxel selection framework based on meta-heuristic search and mutual information for brain decoding

Osama Hourani, Nasrollah Moghadam Charkari, Saeed Jalili
2019 International journal of imaging systems and technology (Print)  
Visual stimulus decoding is an increasingly important challenge in neuroscience. The goal is to classify the activity patterns from the human brain; during the sighting of visual objects.  ...  One of the crucial problems in the brain decoder is the selecting informative voxels. We propose a meta-heuristic voxel selection framework for brain decoding.  ...  The first aim of a brain decoder is to classify neural activities into related high-level cognitive states such as the processing of a stimulus (viewed objects); emotions; and mental illnesses.  ... 
doi:10.1002/ima.22353 fatcat:xuouamep5rah7nkpg5iku736iq

Interoperable atlases of the human brain

K. Amunts, M.J. Hawrylycz, D.C. Van Essen, J.D. Van Horn, N. Harel, J.-B. Poline, F. De Martino, J.G. Bjaalie, G. Dehaene-Lambertz, S. Dehaene, P. Valdes-Sosa, B. Thirion (+7 others)
2014 NeuroImage  
Together, these have provided a large fundus of information on many different aspects of the human brain including micro-and macrostructural segregation, regional specialization of function, connectivity  ...  To this aim, we held a workshop to determine the constraints of a multi-modal human brain model that are needed to enable (i) an integration of different spatial and temporal scales and data modalities  ...  Acknowledgment This work is the outcome of a workshop sponsored by the International Neuroinformatics Coordinating Facility (INCF) on digital brain atlasing.  ... 
doi:10.1016/j.neuroimage.2014.06.010 pmid:24936682 fatcat:imf5xiszynbz7c6rovheesgktm

Named entity recognition in functional neuroimaging literature

Asma Ben Abacha, Alba G. Seco de Herrera, Ke Wang, L. Rodney Long, Sameer Antani, Dina Demner-Fushman
2017 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)  
Human neuroimaging research aims to find mappings between brain activity and broad cognitive states.  ...  In particular, Functional Magnetic Resonance Imaging (fMRI) allows collecting information about activity in the brain in a non-invasive way.  ...  ACKNOWLEDGMENTS This research was supported by the Intramural Research Program of the National Institutes of Health, National Library of Medicine, and Lister Hill National Center for Biomedical Communications  ... 
doi:10.1109/bibm.2017.8218002 dblp:conf/bibm/AbachaHWLAD17 fatcat:q4d2l2kg2bfrhacfdjywcqdea4

Large-scale automated synthesis of human functional neuroimaging data

Tal Yarkoni, Russell A Poldrack, Thomas E Nichols, David C Van Essen, Tor D Wager
2011 Nature Methods  
accurate 'decoding' of broad cognitive states from brain activity in both entire studies and individual human subjects.  ...  different cognitive processes elicit regional changes in brain activity; and decode and classify broad cognitive states in new data solely on the basis of observed brain activity.  ...  accurate 'decoding' of broad cognitive states from brain activity in both entire studies and individual human subjects.  ... 
doi:10.1038/nmeth.1635 pmid:21706013 pmcid:PMC3146590 fatcat:bq3tzv4hjbbhdn62aldujs52oa

Cytoarchitectonic Characterization and Functional Decoding of Four New Areas in the Human Lateral Orbitofrontal Cortex

Magdalena Wojtasik, Sebastian Bludau, Simon B. Eickhoff, Hartmut Mohlberg, Fatma Gerboga, Svenja Caspers, Katrin Amunts
2020 Frontiers in Neuroanatomy  
Together with existing maps of the JuBrain Cytoarchitectonic Atlas, the new maps can now be used as an open-source reference for neuroimaging studies, allowing to further decode brain function.  ...  The type of behavioral tasks that activated them was analyzed to get first insights of co-activation patterns of the lateral OFC and its contribution to cognitive networks.  ...  three-dimensional model of a human brain at nearly cellular resolution of 20 × 20 µm (Amunts et al., 2013) and the MNI template of the HBP human brain atlas 3 .  ... 
doi:10.3389/fnana.2020.00002 pmid:32116573 pmcid:PMC7014920 fatcat:2cb32s72lfcy3e27a4tb734aum

The Roles of Statistics in Human Neuroscience

Oliver Y. Chén
2019 Brain Sciences  
They are (1) the study of differences between brains in distinctive populations; (2) the study of the variability in the structure and functioning of the brain; and (3) the study of data reduction on large-scale  ...  I discuss these concepts using examples from past and ongoing research in brain connectivity, brain information flow, information extraction from large-scale neuroimaging data, and neural predictive modeling  ...  Conflicts of Interest: The author declares no competing financial interests.  ... 
doi:10.3390/brainsci9080194 pmid:31398878 pmcid:PMC6721802 fatcat:pudvsmpqxncvxjhs5ukwdlh4rm

A Topic Learning Pipeline for Curating Brain Cognitive Researches

Ying Sheng, Jianhui Chen, Xiaobo He, Zhe Xu, Jiangfan Gao, Shaofu Lin
2020 IEEE Access  
Atlas 1 and consists of 519 terms about Brodmann area, AAL (Anatomical Automatic Labeling) area and brain anatomical structures. ◼ The "Cognitive Function" dictionary consists of 839 terms obtained from  ...  Cognitive Function The cognitive function is an ability of human brain to process information and used to denote the brain function implied by brain response in the brain cognitive research. memory  ... 
doi:10.1109/access.2020.3032173 fatcat:vn2pfypjkndxnlzccdhzyoptiy

A novel 5D brain parcellation approach based on spatio-temporal encoding of resting fMRI data from deep residual learning [article]

Behnam Kazemivash, Vince D. Calhoun
2021 bioRxiv   pre-print
In the context of functional parcellation, brain organization which is often measured via temporal metrics such as coherence, is highly dynamic.  ...  spatio-temporal-network (5D) brain parcellation scheme utilizing a deep residual network to predict the probability of each voxel belonging to a brain network at each point in time.ResultsWe trained 53  ...  It is composed of different anatomic subparts including cerebrum, cerebellum and brainstem which are anatomically linked and functionally coupled to conduct a specific cognitive function or produce a behavioral  ... 
doi:10.1101/2021.04.22.440936 fatcat:3ritybbj3rewvgcads4wx274pq

Connectional asymmetry of the inferior parietal lobule shapes hemispheric specialization in humans, chimpanzees, and rhesus macaques

Luqi Cheng, Yuanchao Zhang, Gang Li, Jiaojian Wang, Chet Sherwood, Gaolang Gong, Lingzhong Fan, Tianzi Jiang
2021 eLife  
an anatomical basis for language and tool use.  ...  These findings suggest that structural and connectional asymmetries may underlie hemispheric specialization of the human brain.  ...  Acknowledgements This work was partially supported by the National Natural Science Foundation of China (Grant Nos. 91432302, 82072099, and 31620103905) ).  ... 
doi:10.7554/elife.67600 pmid:34219649 pmcid:PMC8257252 fatcat:il77vonqsjhs7apcnhvtv3a5tu

Chronic brain functional ultrasound imaging in freely moving rodents performing cognitive tasks [article]

Ahmed El Hady, Daniel Y Takahashi, Ruolan Sun, Tyler Boyd-Meredith, Yisi Zhang, Adam Charles, Carlos Brody
2022 bioRxiv   pre-print
Moreover, we present proof-of-concept analysis of brain dynamics during a decision making task.  ...  Functional ultrasound imaging (fUS) is an emerging imaging technique that indirectly measures neural activity via changes in blood volume.  ...  Jane Dennis for help with the registration and the rat brain atlas, Princeton University Physics Department Workshop, Charles Kopec, David Tank, Brody lab animal training technicians.  ... 
doi:10.1101/2022.01.29.478327 fatcat:qcmtyoscpfgw3ae7c26o4yr5bq
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