Statistical Approaches to Functional Neuroimaging Data

Mosconi, 2004, Magnetic resonance and PET studies in the early diagnosis of Alzheimer's disease, Expert Rev Neurother, 4, 831, 10.1586/14737175.4.5.831 Kalivas, 2005, The neural basis of addiction: a pathology of motivation and choice, Am J Psychiatry, 162, 1403, 10.1176/appi.ajp.162.8.1403 Friston, 1996, Movement-related effects in fMRI time-series, Magn Reson Med, 35, 346, 10.1002/mrm.1910350312 Friston, 2003, Introduction: experimental design and statistical parametric mapping Wang, 2005, To smooth or not to smooth? ROC analysis of perfusion fMRI data, Magn Reson Imaging, 23, 75, 10.1016/j.mri.2004.11.009 Buxton, 2002 Worsley, 2002, A general statistical analysis for fMRI data, Neuroimage, 15, 1, 10.1006/nimg.2001.0933 Lange, 1997, Non-linear Fourier time series analysis for human brain mapping by functional magnetic resonance imaging (with discussion), J R Stat Soc Ser C Appl Stat, 46, 1, 10.1111/1467-9876.00046 Macey, 2004, A method for removal of global effects from fMRI time series, Neuroimage, 22, 360, 10.1016/j.neuroimage.2003.12.042 Beckmann, 2003, General multilevel linear modeling for group analysis in FMRI, Neuroimage, 20, 1052, 10.1016/S1053-8119(03)00435-X Worsley, 1995, Analysis of fMRI time-series -revisited again, Neuroimage, 2, 173, 10.1006/nimg.1995.1023 Bowman, 2003, Modeling intra-subject correlation among repeated scans in positron emission tomography (PET) neuroimaging data, Human Brain Mapp, 20, 59, 10.1002/hbm.10127 Penny, 2004, Random-effects analysis (chapter 42), 843 Worsley, 1994, Local maxima and the expected Euler characteristic of excursion sets of X2, F, and t fields, Advances in Applied Probability, 26, 13, 10.2307/1427576 Worsley, 1992, A three-dimensional statistical analysis for rCBF activation studies in the human brain, J Cereb Blood Flow Metab, 12, 900, 10.1038/jcbfm.1992.127 Holmes, 1996, Non-parametric analysis of statistic images from functional mapping experiments, J Cereb Blood Flow Metab, 16, 7, 10.1097/00004647-199601000-00002 Raz J, Turetsky B. Wavelet ANOVA and fMRI. In: Unser MA, Aldroubi A, Laine AF, editors. Wavelet applications in signal and image processing VII. Proceedings of SPIE 1999;3813:561–70. Katanoda, 2002, A spatio-temporal regression model for the analysis of functional MRI data, Neuroimage, 17, 1415, 10.1006/nimg.2002.1209 Gössl, 2001, Bayesian spatiotemporal inference in functional magnetic resonance imaging, Biometrics, 57, 554, 10.1111/j.0006-341X.2001.00554.x Woolrich, 2004, Fully Bayesian spatio-temporal modeling of fMRI data, IEEE Trans Med Imaging, 23, 213, 10.1109/TMI.2003.823065 Penny, 2005, Bayesian fMRI time series analysis with spatial priors, Neuroimage, 24, 350, 10.1016/j.neuroimage.2004.08.034 Bowman, 2005, Spatiotemporal modeling of localized brain activity, Biostatistics, 6, 558, 10.1093/biostatistics/kxi027 Bowman, 2007, Bayesian hierarchical framework for spatial modeling of fMRI data, Neuroimage Bowman, 2007, Spatio-temporal models for region of interest analyses of functional neuroimaging data, J Am Stat Assoc, 102, 442, 10.1198/016214506000001347 Friston, 1994, Analysis of functional MRI time series, Human Brain Mapp, 1, 153, 10.1002/hbm.460010207 Friston, 1994, Statistical parametric maps in functional imaging: a general linear approach, Human Brain Mapp, 2, 189, 10.1002/hbm.460020402 Brodmann, 1909 Bullmore, 1996, Statistical methods of estimation and inference for functional MR image analysis, Magn Reson Med, 35, 261, 10.1002/mrm.1910350219 Worsley, 1997, An overview of some new developments in the statistical analysis of PET and fMRI data, Human Brain Mapp, 5, 254, 10.1002/(SICI)1097-0193(1997)5:4<254::AID-HBM9>3.0.CO;2-2 Benjamini, 1995, Controlling the false discovery rate: a practical and powerful approach to multiple testing, Journal of the Royal Statistical Society, Series B, 57, 289 Genovese, 2002, Thresholding of statistical maps in functional neuroimaging using the false discovery rate, Neuroimage, 15, 870, 10.1006/nimg.2001.1037 Nichols, 2003, Controlling the family wise error rate in functional neuroimaging: a comparative review, Stat Methods Med Res, 12, 419, 10.1191/0962280203sm341ra Maldjian, 2003, An automated method for neuroanatomic and cytoarchitectonic atlas-based interrogation of fMRI data sets, Neuroimage, 19, 1233, 10.1016/S1053-8119(03)00169-1 Tzourio-Mazoyer, 2002, Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single-subject brain, Neuroimage, 15, 273, 10.1006/nimg.2001.0978 Hammers, 2002, Implementation and application of a brain template for multiple volumes of interest, Human Brain Mapp, 15, 165, 10.1002/hbm.10016 Nieto-Castanon, 2003, Region of interest based analysis of functional imaging data, Neuroimage, 19, 1303, 10.1016/S1053-8119(03)00188-5 Friston, 1995, Characterizing dynamic brain responses with fMRI: a multivariate approach, Neuroimage, 2, 166, 10.1006/nimg.1995.1019 Worsley, 1997, Characterizing the response of PET and fMRI data using multivariate linear models, Neuroimage, 6, 305, 10.1006/nimg.1997.0294 Nichols, 2001, Nonparametric permutation tests for functional neuroimaging: a primer with examples, Human Brain Mapp, 15, 1, 10.1002/hbm.1058 Bullmore, 2003, Wavelets and statistical analysis of functional magnetic resonance images of the human brain, Stat Methods Med Res, 12, 375, 10.1191/0962280203sm339ra Friston, 1993, Functional connectivity: the principal component analysis of large data sets, J Cereb Blood Flow Metab, 13, 5, 10.1038/jcbfm.1993.4 Balslev, 2002, Cluster analysis of activity-time series in motor learning, Human Brain Mapp, 15, 135, 10.1002/hbm.10015 Goutte, 1999, On clustering fMRI time series, Neuroimage, 9, 298, 10.1006/nimg.1998.0391 Goutte, 2001, Feature-space clustering for fMRI meta-analysis, Human Brain Mapp, 13, 165, 10.1002/hbm.1031 MacQueen, 1967, Some methods for classification and analysis of multivariate observations, 281 Baumgartner, 2000, Comparison of two exploratory data analysis methods for fMRI: fuzzy clustering vs. principal component analysis, Magn Reson Imaging, 18, 89, 10.1016/S0730-725X(99)00102-2 Fadili, 2000, A multistep unsupervised fuzzy clustering analysis of fMRI time series, Human Brain Mapp, 10, 160, 10.1002/1097-0193(200008)10:4<160::AID-HBM20>3.0.CO;2-U Fadili, 2001, On the number of clusters and the fuzziness index for unsupervised FCA application to BOLD fMRI time series, Med Image Anal, 5, 55, 10.1016/S1361-8415(00)00035-9 Sommer, 2003 Bowman, 2004, Methods for detecting functional classifications in neuroimaging data, Human Brain Mapp, 23, 109, 10.1002/hbm.20050 Bowman, 2004, Identifying spatial relationships in neural processing using a multiple classification approach, Neuroimage, 23, 260, 10.1016/j.neuroimage.2004.04.022 Cordes, 2002, Hierarchical clustering to measure connectivity in fMRI resting-state data, Magn Reson Imaging, 20, 305, 10.1016/S0730-725X(02)00503-9 Stanberry, 2003, Cluster analysis of fMRI data using dendrogram sharpening, Hum Brain Mapp, 20, 201, 10.1002/hbm.10143 Filzmoser, 1999, A hierarchical clustering method for analyzing functional MR images, Magn Reson Imaging, 17, 817, 10.1016/S0730-725X(99)00014-4 Baune, 1999, Dynamical cluster analysis of cortical fMRI activation, Neuroimage, 9, 477, 10.1006/nimg.1999.0429 McKeown, 1998, Analysis of fMRI data by blind separation into independent spatial components, Human Brain Mapp, 6, 160, 10.1002/(SICI)1097-0193(1998)6:3<160::AID-HBM5>3.0.CO;2-1 Beckmann, 2005, Investigations into resting-state connectivity using independent component analysis, Phil Trans R Soc B, 360, 1001, 10.1098/rstb.2005.1634 Calhoun, 2001, A method for making group inferences from functional MRI data using independent component analysis, Human Brain Mapp, 14, 140, 10.1002/hbm.1048 Damoiseaux, 2006, Consistent resting-state networks across healthy subjects, Proc Natl Acad Sci U S A, 103, 13848, 10.1073/pnas.0601417103 Hyvärinen, 2001 Beckmann, 2004, Probabilistic independent component analysis for functional magnetic resonance imaging, IEEE Trans Med Imaging, 23, 137, 10.1109/TMI.2003.822821 Lukic AS, Wernick MN, Hansen LK, et al. A spatially robust ICA algorithm for multiple fMRI data sets. In: IEEE International Symposium on Biomedical Imaging. Proceedings. 2002. p. 839–42. Svensén, 2002, ICA of fMRI group study data, Neuroimage, 16, 551, 10.1006/nimg.2002.1122 Patel, 2006, A Bayesian approach to determining connectivity of the human brain, Human Brain Mapp, 27, 267, 10.1002/hbm.20182 Breakspear, 2004, Spatiotemporal wavelet resampling for functional neuroimaging data, Human Brain Mapp, 23, 1, 10.1002/hbm.20045 Patel, 2006, Determining significant connectivity by 4D spatiotemporal wavelet packet resampling of functional neuroimaging data, Neuroimage, 31, 1142, 10.1016/j.neuroimage.2006.01.012 Friston, 1994, Functional and effective connectivity in neuroimaging: a synthesis, Human Brain Mapp, 2, 56, 10.1002/hbm.460020107 McIntosh, 1994, Structural equation modelling and its application to network analysis in functional brain imaging, Human Brain Mapp, 2, 2, 10.1002/hbm.460020104 Grafton, 1994, Network analysis of motor system connectivity in Parkinson's disease: modulation of thalamocortical interactions after pallidotomy, Human Brain Mapp, 2, 45, 10.1002/hbm.460020106 McIntosh, 1996, Spatial pattern analysis of functional brain images using partial least squares, Neuroimage, 3, 143, 10.1006/nimg.1996.0016 Nyberg, 1996, Network analysis of positron emission tomography regional cerebral blood flow data: ensemble inhibition during episodic memory retrieval, J Neurosci, 16, 3753, 10.1523/JNEUROSCI.16-11-03753.1996 Friston, 2002, Bayesian estimation of dynamic systems: an application to fMR, Neuroimage, 16, 513, 10.1006/nimg.2001.1044 Friston, 2003, Dynamic causal modeling, Neuroimage, 19, 1273, 10.1016/S1053-8119(03)00202-7 Mechelli, 2003, A dynamic causal modeling study on category effects: bottom-up or top-down mediation?, J Cogn Neurosci, 15, 925, 10.1162/089892903770007317 Penny, 2004, Comparing dynamic causal models, Neuroimage, 22, 1157, 10.1016/j.neuroimage.2004.03.026 Friston, 2005, Models of brain function in neuroimaging, Annu Rev Psychol, 56, 57, 10.1146/annurev.psych.56.091103.070311 Wold, 1982, Soft modeling: the basic design and some extensions, 1 Hasegawa, 1996, Nonlinear partial least squares modeling of phenyl alkylamines with the monoamine oxidase inhibitory activities, J Chem Inf Comput Sci, 36, 1025, 10.1021/ci960362j Nestor, 2002, A new statistical method for testing hypotheses of neuropsychological/MRI relationships in schizophrenia: partial least squares analysis, Schizophr Res, 53, 57, 10.1016/S0920-9964(00)00171-7 Martínez-Montes, 2004, Concurrent EEG/fMRI analysis by multiway partial least squares, Neuroimage, 22, 1023, 10.1016/j.neuroimage.2004.03.038 Machulda, 2001, fMRI in the diagnosis of early Alzheimer's disease, Neuroimage, 13, 704, 10.1016/S1053-8119(01)92047-6 Eckert, 2005, FDG PET in the differential diagnosis of parkinsonian disorders, Neuroimage, 26, 912, 10.1016/j.neuroimage.2005.03.012 Hirao, 2005, The prediction of rapid conversion to Alzheimer's disease in mild cognitive impairment using regional cerebral blood flow SPECT, Neuroimage, 28, 1014, 10.1016/j.neuroimage.2005.06.066 Whalley, 2006, Functional imaging as a predictor of schizophrenia, Biol Psychiatry, 60, 454, 10.1016/j.biopsych.2005.11.013 Bruder, 2002, Developing predictors of clinical response to antidepressants: neurophysiological and neuropsychological findings, Biol Psychiatry, 51, 198 Rauch, 2001, Cerebral metabolic correlates as potential predictors of response to anterior cingulotomy for obsessive compulsive disorder, Biol Psychiatry, 50, 659, 10.1016/S0006-3223(01)01188-X Brannan, 2000, Cingulate metabolism predicts treatment response: a replication, Biol Psychiatry, 47, 107S, 10.1016/S0006-3223(00)00619-3 Mayberg, 1997, Cingulate function in depression: a potential predictor of treatment response, Neuroreport, 8, 1057, 10.1097/00001756-199703030-00048 Mayberg, 2003, Modulating dysfunctional limbic-cortical circuits in depression: towards development of brain-based algorithms for diagnosis and optimised treatment, Br Med Bull, 65, 193, 10.1093/bmb/65.1.193 Moresco, 2000, Effects of fluvoxamine treatment on the in vivo binding of [F-18]FESP in drug naive depressed patients: a PET study, Neuroimage, 12, 452, 10.1006/nimg.2000.0619 Brody, 1999, Brain metabolic changes in major depressive disorder from pre- to post-treatment with paroxetine, Psychiatry Res, 91, 127, 10.1016/S0925-4927(99)00034-7 Lee, 2005, Regional cerebral blood flow in children with attention deficit hyperactivity disorder: comparison before and after methylphenidate treatment, Hum Brain Mapp, 24, 157, 10.1002/hbm.20067 Goldapple, 2004, Modulation of cortical-limbic pathways in major depression–Treatment-specific effects of cognitive behavior therapy, Arch Gen Psychiatry, 61, 34, 10.1001/archpsyc.61.1.34 Kennedy, 2001, Changes in regional brain glucose metabolism measured with positron emission tomography after paroxetine treatment of major depression, Am J Psychiatry, 158, 899, 10.1176/appi.ajp.158.6.899 Mayberg, 2000, Regional metabolic effects of fluoxetine in major depression: serial changes and relationship to clinical response, Biol Psychiatry, 48, 830, 10.1016/S0006-3223(00)01036-2 Guo Y, Bowman FD, Kilts C. Predicting the brain response to treatment using a Bayesian Hierarchical model with application to a study of schizophrenia. Human Brain Mapp, in press.