Search Results - "Human brain mapping"

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  1. 1

    Deep learning with convolutional neural networks for EEG decoding and visualization by Schirrmeister, Robin Tibor, Springenberg, Jost Tobias, Fiederer, Lukas Dominique Josef, Glasstetter, Martin, Eggensperger, Katharina, Tangermann, Michael, Hutter, Frank, Burgard, Wolfram, Ball, Tonio

    Published in Human brain mapping (01-11-2017)
    “…Deep learning with convolutional neural networks (deep ConvNets) has revolutionized computer vision through end‐to‐end learning, that is, learning from the raw…”
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  2. 2

    Automated brain extraction of multisequence MRI using artificial neural networks by Isensee, Fabian, Schell, Marianne, Pflueger, Irada, Brugnara, Gianluca, Bonekamp, David, Neuberger, Ulf, Wick, Antje, Schlemmer, Heinz‐Peter, Heiland, Sabine, Wick, Wolfgang, Bendszus, Martin, Maier‐Hein, Klaus H., Kickingereder, Philipp

    Published in Human brain mapping (01-12-2019)
    “…Brain extraction is a critical preprocessing step in the analysis of neuroimaging studies conducted with magnetic resonance imaging (MRI) and influences the…”
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  3. 3

    Statistical harmonization corrects site effects in functional connectivity measurements from multi‐site fMRI data by Yu, Meichen, Linn, Kristin A., Cook, Philip A., Phillips, Mary L., McInnis, Melvin, Fava, Maurizio, Trivedi, Madhukar H., Weissman, Myrna M., Shinohara, Russell T., Sheline, Yvette I.

    Published in Human brain mapping (01-11-2018)
    “…Acquiring resting‐state functional magnetic resonance imaging (fMRI) datasets at multiple MRI scanners and clinical sites can improve statistical power and…”
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  4. 4

    Cortical thickness across the lifespan: Data from 17,075 healthy individuals aged 3–90 years by Papachristou, Efstathios, Doucet, Gaelle E., Aghajani, Moji, Akudjedu, Theophilus N., Alnæs, Dag, Andersson, Micael, Andreassen, Ole A., Asherson, Philip, Bargallo, Nuria, Baumeister, Sarah, Baur‐Streubel, Ramona, Bertolino, Alessandro, Boomsma, Dorret I., Borgwardt, Stefan, Bourque, Josiane, Brodaty, Henry, Brouwer, Rachel M., Busatto, Geraldo F., Cannon, Dara M., Caseras, Xavier, Chaim‐Avancini, Tiffany M., Clark, Vincent P., Conrod, Patricia, Conzelmann, Annette, Crespo‐Facorro, Benedicto, Dale, Anders M., Zubicaray, Greig I., Braber, Anouk, Dickie, Erin W., Di Giorgio, Annabella, Doan, Nhat Trung, Ehrlich, Stefan, Fatouros‐Bergman, Helena, Fuentes‐Claramonte, Paola, Glahn, David C., Grimm, Oliver, Groenewold, Nynke A., Grotegerd, Dominik, Gruber, Oliver, Gruner, Patricia, Hahn, Tim, Harrison, Ben J., Hartman, Catharine A., Hatton, Sean N., Heinz, Andreas, Heslenfeld, Dirk J., Hibar, Derrek P., Hickie, Ian B., Ho, Beng‐Choon, Hoekstra, Pieter J., Holmes, Avram J., Howells, Fleur M., Huyser, Chaim, Jahanshad, Neda, Jernigan, Terry L., Jiang, Jiyang, Joska, John A., Kalnin, Andrew, Krämer, Bernd, Kuntsi, Jonna, Lagopoulos, Jim, Lebedeva, Irina, Lee, Won Hee, Lesch, Klaus‐Peter, Lochner, Christine, Machielsen, Marise W. J., Martínez‐Zalacaín, Ignacio, Mazoyer, Bernard, McIntosh, Andrew M., Meinert, Susanne, Medland, Sarah E., Naaijen, Jilly, Nyberg, Lars, Oosterlaan, Jaap, Foz, Víctor Ortiz‐García, Pomarol‐Clotet, Edith, Reif, Andreas, Rinker, Daniel A., Rosa, Pedro G. P., Sacchet, Matthew D., Satterthwaite, Theodore D., Saykin, Andrew J., Serpa, Mauricio H., Schnell, Knut, Stein, Dan J., Strike, Lachlan T., Swagerman, Suzanne C., Tamnes, Christian K., Tomyshev, Alexander S., Tordesillas‐Gutiérrez, Diana, Trollor, Julian N., Heuvel, Odile A., Haren, Neeltje E. M., Ent, Dennis, Voineskos, Aristotle, Wang, Yang, Wassink, Thomas H., Zanetti, Marcus V., Ziegler, Georg C., Dima, Danai

    Published in Human brain mapping (01-01-2022)
    “…Delineating the association of age and cortical thickness in healthy individuals is critical given the association of cortical thickness with cognition and…”
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  5. 5

    The anticipation and outcome phases of reward and loss processing: A neuroimaging meta‐analysis of the monetary incentive delay task by Oldham, Stuart, Murawski, Carsten, Fornito, Alex, Youssef, George, Yücel, Murat, Lorenzetti, Valentina

    Published in Human brain mapping (01-08-2018)
    “…The processing of rewards and losses are crucial to everyday functioning. Considerable interest has been attached to investigating the anticipation and outcome…”
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  6. 6

    Brain functional and effective connectivity based on electroencephalography recordings: A review by Cao, Jun, Zhao, Yifan, Shan, Xiaocai, Wei, Hua‐liang, Guo, Yuzhu, Chen, Liangyu, Erkoyuncu, John Ahmet, Sarrigiannis, Ptolemaios Georgios

    Published in Human brain mapping (01-02-2022)
    “…Functional connectivity and effective connectivity of the human brain, representing statistical dependence and directed information flow between cortical…”
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  7. 7

    Effective feature learning and fusion of multimodality data using stage‐wise deep neural network for dementia diagnosis by Zhou, Tao, Thung, Kim‐Han, Zhu, Xiaofeng, Shen, Dinggang

    Published in Human brain mapping (15-02-2019)
    “…In this article, the authors aim to maximally utilize multimodality neuroimaging and genetic data for identifying Alzheimer's disease (AD) and its prodromal…”
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  8. 8

    Reproducibility of R‐fMRI metrics on the impact of different strategies for multiple comparison correction and sample sizes by Chen, Xiao, Lu, Bin, Yan, Chao‐Gan

    Published in Human brain mapping (01-01-2018)
    “…Concerns regarding reproducibility of resting‐state functional magnetic resonance imaging (R‐fMRI) findings have been raised. Little is known about how to…”
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  9. 9

    Diagnostic power of resting‐state fMRI for detection of network connectivity in Alzheimer's disease and mild cognitive impairment: A systematic review by Ibrahim, Buhari, Suppiah, Subapriya, Ibrahim, Normala, Mohamad, Mazlyfarina, Hassan, Hasyma Abu, Nasser, Nisha Syed, Saripan, M Iqbal

    Published in Human brain mapping (15-06-2021)
    “…Resting‐state fMRI (rs‐fMRI) detects functional connectivity (FC) abnormalities that occur in the brains of patients with Alzheimer's disease (AD) and mild…”
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  10. 10

    Dynamic functional network connectivity in idiopathic generalized epilepsy with generalized tonic–clonic seizure by Liu, Feng, Wang, Yifeng, Li, Meiling, Wang, Wenqin, Li, Rong, Zhang, Zhiqiang, Lu, Guangming, Chen, Huafu

    Published in Human brain mapping (01-02-2017)
    “…Idiopathic generalized epilepsy (IGE) has been linked with disrupted intra‐network connectivity of multiple resting‐state networks (RSNs); however, whether…”
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  11. 11

    Investigating the prevalence of complex fiber configurations in white matter tissue with diffusion magnetic resonance imaging by Jeurissen, Ben, Leemans, Alexander, Tournier, Jacques-Donald, Jones, Derek K., Sijbers, Jan

    Published in Human brain mapping (01-11-2013)
    “…It has long been recognized that the diffusion tensor model is inappropriate to characterize complex fiber architecture, causing tensor‐derived measures such…”
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  12. 12

    Personalized connectivity‐guided DLPFC‐TMS for depression: Advancing computational feasibility, precision and reproducibility by Cash, Robin F.H., Cocchi, Luca, Lv, Jinglei, Wu, Yumeng, Fitzgerald, Paul B., Zalesky, Andrew

    Published in Human brain mapping (01-09-2021)
    “…Repetitive transcranial magnetic stimulation (rTMS) of the dorsolateral prefrontal cortex (DLPFC) is an established treatment for refractory depression,…”
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  13. 13

    Pupil diameter covaries with BOLD activity in human locus coeruleus by Murphy, Peter R., O'Connell, Redmond G., O'Sullivan, Michael, Robertson, Ian H., Balsters, Joshua H.

    Published in Human brain mapping (01-08-2014)
    “…The locus coeruleus‐noradrenergic (LC–NA) neuromodulatory system has been implicated in a broad array of cognitive processes, yet scope for investigating this…”
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  14. 14

    Neuromodulation with single‐element transcranial focused ultrasound in human thalamus by Legon, Wynn, Ai, Leo, Bansal, Priya, Mueller, Jerel K.

    Published in Human brain mapping (01-05-2018)
    “…Transcranial focused ultrasound (tFUS) has proven capable of stimulating cortical tissue in humans. tFUS confers high spatial resolutions with deep focal…”
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    Automated volumetry and regional thickness analysis of hippocampal subfields and medial temporal cortical structures in mild cognitive impairment by Yushkevich, Paul A., Pluta, John B., Wang, Hongzhi, Xie, Long, Ding, Song-Lin, Gertje, Eske C., Mancuso, Lauren, Kliot, Daria, Das, Sandhitsu R., Wolk, David A.

    Published in Human brain mapping (01-01-2015)
    “…We evaluate a fully automatic technique for labeling hippocampal subfields and cortical subregions in the medial temporal lobe in in vivo 3 Tesla MRI. The…”
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  17. 17

    A whole brain fMRI atlas generated via spatially constrained spectral clustering by Craddock, R. Cameron, James, G.Andrew, Holtzheimer III, Paul E., Hu, Xiaoping P., Mayberg, Helen S.

    Published in Human brain mapping (01-08-2012)
    “…Connectivity analyses and computational modeling of human brain function from fMRI data frequently require the specification of regions of interests (ROIs)…”
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  18. 18

    Toward an electrophysiological “sweet spot” for deep brain stimulation in the subthalamic nucleus by Horn, Andreas, Neumann, Wolf‐Julian, Degen, Katharina, Schneider, Gerd‐Helge, Kühn, Andrea A.

    Published in Human brain mapping (01-07-2017)
    “…Enhanced beta‐band activity recorded in patients suffering from Parkinson‘s Disease (PD) has been described as a potential physiomarker for disease severity…”
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  19. 19

    JuSpace: A tool for spatial correlation analyses of magnetic resonance imaging data with nuclear imaging derived neurotransmitter maps by Dukart, Juergen, Holiga, Stefan, Rullmann, Michael, Lanzenberger, Rupert, Hawkins, Peter C. T., Mehta, Mitul A., Hesse, Swen, Barthel, Henryk, Sabri, Osama, Jech, Robert, Eickhoff, Simon B.

    Published in Human brain mapping (15-02-2021)
    “…Recent studies have shown that drug‐induced spatial alteration patterns in resting state functional activity as measured using magnetic resonance imaging…”
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  20. 20

    Applications of amyloid, tau, and neuroinflammation PET imaging to Alzheimer's disease and mild cognitive impairment by Chandra, Avinash, Valkimadi, Polytimi‐Eleni, Pagano, Gennaro, Cousins, Oliver, Dervenoulas, George, Politis, Marios

    Published in Human brain mapping (15-12-2019)
    “…Alzheimer's disease (AD) is a devastating and progressive neurodegenerative disease for which there is no cure. Mild cognitive impairment (MCI) is considered a…”
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