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1
Abnormal cortico-cerebellar functional connectivity in autism spectrum disorder
Abnormal cortico-cerebellar functional connectivity in autism spectrum disorder
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Abnormal cortico-cerebellar functional connectivity in autism spectrum disorder

Taiane Coelho Ramos Joana Bisol Balardin; João Ricardo Sato; André Fujita

Frontiers in Systems Neuroscience Amsterdam v. 12, art. 74, 2019

Amsterdam 2019

Localização: IME - Inst. Matemática e Estatística    (PROD-2928560 )(Acessar)

2
Evidence of regional associations between age-related inter-individual differences in resting-state functional connectivity and cortical thinning revealed through a multi-level analysis
Evidence of regional associations between age-related inter-individual differences in resting-state functional connectivity and cortical thinning revealed through a multi-level analysis
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Evidence of regional associations between age-related inter-individual differences in resting-state functional connectivity and cortical thinning revealed through a multi-level analysis

Bruno Hebling Vieira Carlo Rondinoni; Carlos Ernesto Garrido Salmon

NeuroImage Amsterdam v. 211, art. 116662, p. 1-9, 2020

Amsterdam 2020

Localização: FFCLRP - Fac. Fil. Ciên. Let. de R. Preto    (pcd 3099687 Acervo Digital )(Acessar)

3
On the prediction of human intelligence from neuroimaging A systematic review of methods and reporting
On the prediction of human intelligence from neuroimaging A systematic review of methods and reporting
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On the prediction of human intelligence from neuroimaging A systematic review of methods and reporting

Bruno Hebling Vieira Gustavo Santo Pedro Pamplona; Karim Fachinello; Alice Kamensek Silva; Maria Paula Foss; Carlos Ernesto Garrido Salmon

Intelligence London v. 93, art. 101654, 2022

London 2022

Localização: FFCLRP - Fac. Fil. Ciên. Let. de R. Preto    (pcd 3092405 Acervo Digital )(Acessar)

4
fMRI functional connectivity is a better predictor of general intelligence than cortical morphometric features and ICA parcellation order affects predictive performance
fMRI functional connectivity is a better predictor of general intelligence than cortical morphometric features and ICA parcellation order affects predictive performance
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fMRI functional connectivity is a better predictor of general intelligence than cortical morphometric features and ICA parcellation order affects predictive performance

Erick Almeida de Souza Stéphanie Andrade Silva; Bruno Hebling Vieira; Carlos Ernesto Garrido Salmon

Intelligence London v. 97, art. 101727, 2023

London 2023

Localização: FFCLRP - Fac. Fil. Ciên. Let. de R. Preto    (pcd 3178369 Acervo Digital )(Acessar)

5
A deep learning based approach identifies regions more relevant than resting‐state networks to the prediction of general intelligence from resting‐state fMRI
A deep learning based approach identifies regions more relevant than resting‐state networks to the prediction of general intelligence from resting‐state fMRI
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A deep learning based approach identifies regions more relevant than resting‐state networks to the prediction of general intelligence from resting‐state fMRI

Bruno Hebling Vieira Julien Dubois; Vince D Calhoun; Carlos Ernesto Garrido Salmon

Human Brain Mapping Hoboken v. 42, n. 18, p. 5873-5887, 2021

Hoboken 2021

Localização: FFCLRP - Fac. Fil. Ciên. Let. de R. Preto    (pcd 3092665 Acervo Digital )(Acessar)

6
Disrupted hemispheric connectivity specialization in patients with major depressive disorder: Evidence from the REST-meta-MDD Project
Disrupted hemispheric connectivity specialization in patients with major depressive disorder: Evidence from the REST-meta-MDD Project
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Disrupted hemispheric connectivity specialization in patients with major depressive disorder: Evidence from the REST-meta-MDD Project

Ding, Yu-Dan ; Yang, Ru ; Yan, Chao-Gan ; Chen, Xiao ; Bai, Tong-Jian ; Bo, Qi-Jing ; Chen, Guan-Mao ; Chen, Ning-Xuan ; Chen, Tao-Lin ; Chen, Wei ; Cheng, Chang ; Cheng, Yu-Qi ; Cui, Xi-Long ; Duan, Jia ; Fang, Yi-Ru ; Gong, Qi-Yong ; Hou, Zheng-Hua ; Hu, Lan ; Kuang, Li ; Li, Feng ; Li, Tao ; Liu, Yan-Song ; Liu, Zhe-Ning ; Long, Yi-Cheng ; Luo, Qing-Hua ; Meng, Hua-Qing ; Peng, Dai-Hui ; Qiu, Hai-Tang ; Qiu, Jiang ; Shen, Yue-Di ; Shi, Yu-Shu ; Tang, Yanqing ; Wang, Chuan-Yue ; Wang, Fei ; Wang, Kai ; Wang, Li ; Wang, Xiang ; Wang, Ying ; Wu, Xiao-Ping ; Wu, Xin-Ran ; Xie, Chun-Ming ; Xie, Guang-Rong ; Xie, Hai-Yan ; Xie, Peng ; Xu, Xiu-Feng ; Yang, Hong ; Yang, Jian ; Yao, Jia-Shu ; Yao, Shu-Qiao ; Yin, Ying-Ying ; Yuan, Yong-Gui ; Zhang, Ai-Xia ; Zhang, Hong ; Zhang, Ke-Rang ; Zhang, Lei ; Zhang, Zhi-Jun ; Zhou, Ru-Bai ; Zhou, Yi-Ting ; Zhu, Jun-Juan ; Zou, Chao-Jie ; Si, Tian-Mei ; Zang, Yu-Feng ; Zhao, Jing-Ping ; Guo, Wen-Bin

Journal of affective disorders, 2021-04, Vol.284, p.217-228 [Periódico revisado por pares]

Netherlands: Elsevier B.V

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7
Optimization of rs‐fMRI parameters in the Seed Correlation Analysis (SCA) in DPARSF toolbox: A preliminary study
Optimization of rs‐fMRI parameters in the Seed Correlation Analysis (SCA) in DPARSF toolbox: A preliminary study
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Optimization of rs‐fMRI parameters in the Seed Correlation Analysis (SCA) in DPARSF toolbox: A preliminary study

Karpiel, Ilona ; Klose, Uwe ; Drzazga, Zofia

Journal of neuroscience research, 2019-04, Vol.97 (4), p.433-443 [Periódico revisado por pares]

United States: Wiley Subscription Services, Inc

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8
Resting-state network dysfunction in Alzheimer's disease: A systematic review and meta-analysis
Resting-state network dysfunction in Alzheimer's disease: A systematic review and meta-analysis
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Resting-state network dysfunction in Alzheimer's disease: A systematic review and meta-analysis

Badhwar, AmanPreet ; Tam, Angela ; Dansereau, Christian ; Orban, Pierre ; Hoffstaedter, Felix ; Bellec, Pierre

Alzheimer's & dementia : diagnosis, assessment & disease monitoring, 2017, Vol.8 (1), p.73-85 [Periódico revisado por pares]

United States: Elsevier Inc

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9
Reproducibility of R‐fMRI metrics on the impact of different strategies for multiple comparison correction and sample sizes
Reproducibility of R‐fMRI metrics on the impact of different strategies for multiple comparison correction and sample sizes
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Reproducibility of R‐fMRI metrics on the impact of different strategies for multiple comparison correction and sample sizes

Chen, Xiao ; Lu, Bin ; Yan, Chao‐Gan

Human brain mapping, 2018-01, Vol.39 (1), p.300-318 [Periódico revisado por pares]

United States: John Wiley & Sons, Inc

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10
Dynamic changes of amplitude of low‐frequency fluctuations in patients with generalized anxiety disorder
Dynamic changes of amplitude of low‐frequency fluctuations in patients with generalized anxiety disorder
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Dynamic changes of amplitude of low‐frequency fluctuations in patients with generalized anxiety disorder

Cui, Qian ; Sheng, Wei ; Chen, Yuyan ; Pang, Yajing ; Lu, Fengmei ; Tang, Qin ; Han, Shaoqiang ; Shen, Qian ; Wang, Yifeng ; Xie, Ailing ; Huang, Jing ; Li, Di ; Lei, Ting ; He, Zongling ; Chen, Huafu

Human brain mapping, 2020-04, Vol.41 (6), p.1667-1676 [Periódico revisado por pares]

Hoboken, USA: John Wiley & Sons, Inc

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Deste Autor:

  1. Salmon, C
  2. Vieira, B
  3. Foss, M
  4. Balardin, J
  5. Dubois, J

Neste Assunto:

  1. Science & Technology
  2. Life Sciences & Biomedicine
  3. Neurosciences & Neurology
  4. Neurosciences
  5. Humans

  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

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