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Refinado por: Base de dados/Biblioteca: DOAJ Directory of Open Access Journals remover Base de dados/Biblioteca: Journals@Ovid remover assunto: Magnetic Resonance Imaging remover
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1
Resting state functional network switching rate is differently altered in bipolar disorder and major depressive disorder
Resting state functional network switching rate is differently altered in bipolar disorder and major depressive disorder
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Resting state functional network switching rate is differently altered in bipolar disorder and major depressive disorder

Han, Shaoqiang ; Cui, Qian ; Wang, Xiao ; Li, Liang ; Li, Di ; He, Zongling ; Guo, Xiaonan ; Fan, Yun‐Shuang ; Guo, Jing ; Sheng, Wei ; Lu, Fengmei ; Chen, Huafu

Human brain mapping, 2020-08, Vol.41 (12), p.3295-3304 [Periódico revisado por pares]

Hoboken, USA: John Wiley & Sons, Inc

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2
Network-level macroscale structural connectivity predicts propagation of transcranial magnetic stimulation
Network-level macroscale structural connectivity predicts propagation of transcranial magnetic stimulation
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Network-level macroscale structural connectivity predicts propagation of transcranial magnetic stimulation

Momi, Davide ; Ozdemir, Recep A. ; Tadayon, Ehsan ; Boucher, Pierre ; Shafi, Mouhsin M. ; Pascual-Leone, Alvaro ; Santarnecchi, Emiliano

NeuroImage (Orlando, Fla.), 2021-04, Vol.229, p.117698-117698, Article 117698 [Periódico revisado por pares]

United States: Elsevier Inc

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3
The default mode network and cognition in Parkinson's disease: A multimodal resting‐state network approach
The default mode network and cognition in Parkinson's disease: A multimodal resting‐state network approach
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The default mode network and cognition in Parkinson's disease: A multimodal resting‐state network approach

Ruppert, Marina C. ; Greuel, Andrea ; Freigang, Julia ; Tahmasian, Masoud ; Maier, Franziska ; Hammes, Jochen ; Eimeren, Thilo ; Timmermann, Lars ; Tittgemeyer, Marc ; Drzezga, Alexander ; Eggers, Carsten

Human brain mapping, 2021-06, Vol.42 (8), p.2623-2641 [Periódico revisado por pares]

Hoboken, USA: John Wiley & Sons, Inc

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4
Automated brain extraction of multisequence MRI using artificial neural networks
Automated brain extraction of multisequence MRI using artificial neural networks
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Automated brain extraction of multisequence MRI using artificial neural networks

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

Human brain mapping, 2019-12, Vol.40 (17), p.4952-4964 [Periódico revisado por pares]

Hoboken, USA: John Wiley & Sons, Inc

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5
A dynamic graph convolutional neural network framework reveals new insights into connectome dysfunctions in ADHD
A dynamic graph convolutional neural network framework reveals new insights into connectome dysfunctions in ADHD
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A dynamic graph convolutional neural network framework reveals new insights into connectome dysfunctions in ADHD

Zhao, Kanhao ; Duka, Boris ; Xie, Hua ; Oathes, Desmond J. ; Calhoun, Vince ; Zhang, Yu

NeuroImage (Orlando, Fla.), 2022-02, Vol.246, p.118774-118774, Article 118774 [Periódico revisado por pares]

United States: Elsevier Inc

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6
Abnormal functional connectivities patterns of multidomain cognitive impairments in pontine stroke patients
Abnormal functional connectivities patterns of multidomain cognitive impairments in pontine stroke patients
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Abnormal functional connectivities patterns of multidomain cognitive impairments in pontine stroke patients

Wang, Yingying ; Wang, Caihong ; Wei, Ying ; Miao, Peifang ; Liu, Jingchun ; Wu, Luobing ; Li, Zhen ; Li, Xin ; Wang, Kaiyu ; Cheng, Jingliang

Human brain mapping, 2022-10, Vol.43 (15), p.4676-4688 [Periódico revisado por pares]

Hoboken, USA: John Wiley & Sons, Inc

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7
QSMGAN: Improved Quantitative Susceptibility Mapping using 3D Generative Adversarial Networks with increased receptive field
QSMGAN: Improved Quantitative Susceptibility Mapping using 3D Generative Adversarial Networks with increased receptive field
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QSMGAN: Improved Quantitative Susceptibility Mapping using 3D Generative Adversarial Networks with increased receptive field

Chen, Yicheng ; Jakary, Angela ; Avadiappan, Sivakami ; Hess, Christopher P. ; Lupo, Janine M.

NeuroImage (Orlando, Fla.), 2020-02, Vol.207, p.116389-116389, Article 116389 [Periódico revisado por pares]

United States: Elsevier Inc

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8
Development of the default-mode network during childhood and adolescence: A longitudinal resting-state fMRI study
Development of the default-mode network during childhood and adolescence: A longitudinal resting-state fMRI study
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Development of the default-mode network during childhood and adolescence: A longitudinal resting-state fMRI study

Fan, Fengmei ; Liao, Xuhong ; Lei, Tianyuan ; Zhao, Tengda ; Xia, Mingrui ; Men, Weiwei ; Wang, Yanpei ; Hu, Mingming ; Liu, Jie ; Qin, Shaozheng ; Tan, Shuping ; Gao, Jia-Hong ; Dong, Qi ; Tao, Sha ; He, Yong

NeuroImage (Orlando, Fla.), 2021-02, Vol.226, p.117581-117581, Article 117581 [Periódico revisado por pares]

United States: Elsevier Inc

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9
Functional connectivity in dementia with Lewy bodies: A within‐ and between‐network analysis
Functional connectivity in dementia with Lewy bodies: A within‐ and between‐network analysis
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Functional connectivity in dementia with Lewy bodies: A within‐ and between‐network analysis

Schumacher, Julia ; Peraza, Luis R. ; Firbank, Michael ; Thomas, Alan J. ; Kaiser, Marcus ; Gallagher, Peter ; O'Brien, John T. ; Blamire, Andrew M. ; Taylor, John‐Paul

Human brain mapping, 2018-03, Vol.39 (3), p.1118-1129 [Periódico revisado por pares]

United States: John Wiley & Sons, Inc

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10
DeepNAT: Deep convolutional neural network for segmenting neuroanatomy
DeepNAT: Deep convolutional neural network for segmenting neuroanatomy
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DeepNAT: Deep convolutional neural network for segmenting neuroanatomy

Wachinger, Christian ; Reuter, Martin ; Klein, Tassilo

NeuroImage (Orlando, Fla.), 2018-04, Vol.170, p.434-445 [Periódico revisado por pares]

United States: Elsevier Inc

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