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Modular preprocessing pipelines can reintroduce artifacts into fMRI data
Modular preprocessing pipelines can reintroduce artifacts into fMRI data
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Modular preprocessing pipelines can reintroduce artifacts into fMRI data

Lindquist, Martin A. ; Geuter, Stephan ; Wager, Tor D. ; Caffo, Brian S.

Human brain mapping, 2019-06, Vol.40 (8), p.2358-2376 [Periódico revisado por pares]

Hoboken, USA: John Wiley & Sons, Inc

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2
Minimizing within-experiment and within-group effects in activation likelihood estimation meta-analyses
Minimizing within-experiment and within-group effects in activation likelihood estimation meta-analyses
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Minimizing within-experiment and within-group effects in activation likelihood estimation meta-analyses

Turkeltaub, Peter E. ; Eickhoff, Simon B. ; Laird, Angela R. ; Fox, Mick ; Wiener, Martin ; Fox, Peter

Human brain mapping, 2012-01, Vol.33 (1), p.1-13 [Periódico revisado por pares]

Hoboken: Wiley Subscription Services, Inc., A Wiley Company

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3
Influence of sample size and analytic approach on stability and interpretation of brain‐behavior correlations in task‐related fMRI data
Influence of sample size and analytic approach on stability and interpretation of brain‐behavior correlations in task‐related fMRI data
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Influence of sample size and analytic approach on stability and interpretation of brain‐behavior correlations in task‐related fMRI data

Grady, Cheryl L. ; Rieck, Jenny R. ; Nichol, Daniel ; Rodrigue, Karen M. ; Kennedy, Kristen M.

Human brain mapping, 2021-01, Vol.42 (1), p.204-219 [Periódico revisado por pares]

Hoboken, USA: John Wiley & Sons, Inc

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4
Accurate modeling of temporal correlations in rapidly sampled fMRI time series
Accurate modeling of temporal correlations in rapidly sampled fMRI time series
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Accurate modeling of temporal correlations in rapidly sampled fMRI time series

Corbin, Nadège ; Todd, Nick ; Friston, Karl J. ; Callaghan, Martina F.

Human brain mapping, 2018-10, Vol.39 (10), p.3884-3897 [Periódico revisado por pares]

United States: John Wiley & Sons, Inc

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5
Quality and denoising in real‐time functional magnetic resonance imaging neurofeedback: A methods review
Quality and denoising in real‐time functional magnetic resonance imaging neurofeedback: A methods review
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Quality and denoising in real‐time functional magnetic resonance imaging neurofeedback: A methods review

Heunis, Stephan ; Lamerichs, Rolf ; Zinger, Svitlana ; Caballero‐Gaudes, Cesar ; Jansen, Jacobus F. A. ; Aldenkamp, Bert ; Breeuwer, Marcel

Human brain mapping, 2020-08, Vol.41 (12), p.3439-3467 [Periódico revisado por pares]

Hoboken, USA: John Wiley & Sons, Inc

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6
Assessing methods for geometric distortion compensation in 7 T gradient echo functional MRI data
Assessing methods for geometric distortion compensation in 7 T gradient echo functional MRI data
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Assessing methods for geometric distortion compensation in 7 T gradient echo functional MRI data

Schallmo, Michael‐Paul ; Weldon, Kimberly B. ; Burton, Philip C. ; Sponheim, Scott R. ; Olman, Cheryl A.

Human brain mapping, 2021-09, Vol.42 (13), p.4205-4223 [Periódico revisado por pares]

Hoboken, USA: John Wiley & Sons, Inc

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7
Stability test of canonical correlation analysis for studying brain‐behavior relationships: The effects of subject‐to‐variable ratios and correlation strengths
Stability test of canonical correlation analysis for studying brain‐behavior relationships: The effects of subject‐to‐variable ratios and correlation strengths
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Stability test of canonical correlation analysis for studying brain‐behavior relationships: The effects of subject‐to‐variable ratios and correlation strengths

Yang, Qingqing ; Zhang, Xinxin ; Song, Yingchao ; Liu, Feng ; Qin, Wen ; Yu, Chunshui ; Liang, Meng

Human brain mapping, 2021-06, Vol.42 (8), p.2374-2392 [Periódico revisado por pares]

Hoboken, USA: John Wiley & Sons, Inc

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8
Comparing machine and deep learning‐based algorithms for prediction of clinical improvement in psychosis with functional magnetic resonance imaging
Comparing machine and deep learning‐based algorithms for prediction of clinical improvement in psychosis with functional magnetic resonance imaging
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Comparing machine and deep learning‐based algorithms for prediction of clinical improvement in psychosis with functional magnetic resonance imaging

Smucny, Jason ; Davidson, Ian ; Carter, Cameron S.

Human brain mapping, 2021-03, Vol.42 (4), p.1197-1205 [Periódico revisado por pares]

Hoboken, USA: John Wiley & Sons, Inc

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9
Brain‐wide inferiority and equivalence tests in fMRI group analyses: Selected applications
Brain‐wide inferiority and equivalence tests in fMRI group analyses: Selected applications
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Brain‐wide inferiority and equivalence tests in fMRI group analyses: Selected applications

Gerchen, Martin Fungisai ; Kirsch, Peter ; Feld, Gordon Benedikt

Human brain mapping, 2021-12, Vol.42 (18), p.5803-5813 [Periódico revisado por pares]

Hoboken, USA: John Wiley & Sons, Inc

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10
Transcranial brain atlas‐based optimization for functional near‐infrared spectroscopy optode arrangement: Theory, algorithm, and application
Transcranial brain atlas‐based optimization for functional near‐infrared spectroscopy optode arrangement: Theory, algorithm, and application
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Transcranial brain atlas‐based optimization for functional near‐infrared spectroscopy optode arrangement: Theory, algorithm, and application

Zhao, Yang ; Xiao, Xiang ; Jiang, Yi‐Han ; Sun, Pei‐Pei ; Zhang, Zong ; Gong, Yi‐Long ; Li, Zheng ; Zhu, Chao‐Zhe

Human brain mapping, 2021-04, Vol.42 (6), p.1657-1669 [Periódico revisado por pares]

Hoboken, USA: John Wiley & Sons, Inc

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