Effortful control and resting state networks: A longitudinal EEG study
Tài liệu tham khảo
Ahlfors, 2010, Sensitivity of MEG and EEG to source orientation, Brain Topogr, 23, 227, 10.1007/s10548-010-0154-x
Allen, 2012, Tracking whole-brain connectivity dynamics in the resting state, Cereb Cortex, 24, 663, 10.1093/cercor/bhs352
Asami, 2012, Longitudinal loss of gray matter volume in patients with first-episode schizophrenia: DARTEL automated analysis and ROI validation, NeuroImage, 59, 986, 10.1016/j.neuroimage.2011.08.066
Barber, 2013, Developmental changes in within- and between-network connectivity between late childhood and adulthood, Neuropsychologia, 51, 156, 10.1016/j.neuropsychologia.2012.11.011
Barnes, 2011, Controlling false positive rates in mass-univariate tests for electromagnetic responses, Neuroimage, 56, 1072, 10.1016/j.neuroimage.2011.02.072
Barnes, 2016, Electrophysiological measures of resting state functional connectivity and their relationship with working memory capacity in childhood, Dev Sci, 19, 19, 10.1111/desc.12297
Barry, 2004, Age and gender effects in EEG coherence: I. Developmental trends in normal children, Clin Neurophysiol, 115, 2252, 10.1016/j.clinph.2004.05.004
Basar, 1998
Bathelt, 2013, Functional brain network ibrillaryn of children between 2 and 5 years derived from reconstructed activity of cortical sources of high-density EEG recordings, NeuroImage, 82, 595, 10.1016/j.neuroimage.2013.06.003
Ben-Simon, 2008, Never resting brain: simultaneous representation of two alpha related processes in humans, PloS ONE, 3, e3984, 10.1371/journal.pone.0003984
Bernal-Rusiel, 2013, Spatiotemporal linear mixed effects modeling for the mass-univariate analysis of longitudinal neuroimage data, Neuroimage, 81, 358, 10.1016/j.neuroimage.2013.05.049
Biswal, 1995, Functional connectivity in the motor cortex of resting human brain using echo-planar MRI, Magn Reson Med, 34, 537, 10.1002/mrm.1910340409
Blockx, 2011, Genotype specific age related changes in a transgenic rat model of Huntington’s disease, Neuroimage, 58, 1006, 10.1016/j.neuroimage.2011.07.007
Boersma, 2011, Network analysis of resting state EEG in the developing young brain: structure comes with maturation, Hum Brain Mapp, 32, 413, 10.1002/hbm.21030
Brookes, 2011, Measuring functional connectivity using MEG: methodology and comparison with fcMRI, Neuroimage, 56, 1082, 10.1016/j.neuroimage.2011.02.054
Brookes, 2011, Investigating the electrophysiological basis of resting state networks using magnetoencephalography, Proc Natl Acad Sci U S A, 108, 16783, 10.1073/pnas.1112685108
Brookes, 2012, Task induced modulation of neural oscillations in electrophysiological brain networks, Neuroimage, 63, 1918, 10.1016/j.neuroimage.2012.08.012
Brookes, 2012, Measuring functional connectivity in MEG: a multivariate approach insensitive to linear source leakage, NeuroImage, 63, 910, 10.1016/j.neuroimage.2012.03.048
Broyd, 2009, Default-mode brain dysfunction in mental disorders: a systematic review, Neurosci Biobehav Rev, 33, 279, 10.1016/j.neubiorev.2008.09.002
Chai, 2011, Abnormal medial prefrontal cortex resting-state connectivity in bipolar disorder and schizophrenia, Neuropsychopharmacology, 36, 2009, 10.1038/npp.2011.88
Chai, 2012, Anticorrelations in resting state networks without global signal regression, NeuroImage, 59, 1420, 10.1016/j.neuroimage.2011.08.048
Chen, 2012, Dynamic changes of ICA-derived EEG functional connectivity in the resting state, Hum Brain Mapp, 34, 852, 10.1002/hbm.21475
Chumbley, 2009, False discovery rate revisited: FDR and topological inference using Gaussian random fields, NeuroImage, 44, 62, 10.1016/j.neuroimage.2008.05.021
Davis, 2013, Impulsivity and the modular organization of resting-state neural networks, Cereb Cortex, 23, 1444, 10.1093/cercor/bhs126
De Bie, 2012, Resting-state networks in awake five- to eight-year old children, Hum Brain Mapp, 33, 1189, 10.1002/hbm.21280
De Pasquale, 2014, Temporal and spectral signatures of the default mode network, 451
De Pasquale, 2010, Temporal dynamics of spontaneous MEG activity in brain networks, Proc Natl Acad Sci U S A, 107, 6040, 10.1073/pnas.0913863107
Debener, 2006, Single-trial EEG/fMRI reveals the dynamics of cognitive function, Trends Cogn Sci, 10, 558, 10.1016/j.tics.2006.09.010
Delaloye, 2011, Longitudinal analysis of cognitive performances and structural brain changes in late life bipolar disorder, Int J Geriatr Psychiatry, 26, 1309, 10.1002/gps.2683
Desikan, 2011, Amyloid-β associated volume loss occurs only in the presence of phosphor-tau, Ann Neurol, 70, 657, 10.1002/ana.22509
Devlin, 1997, The heritability of IQ, Nature, 388, 468, 10.1038/41319
Doppelmayr, 1998, Individual differences in brain dynamics: important implications for the calculation of event-related band power, Biol Cybern, 79, 49, 10.1007/s004220050457
Dosenbach, 2007, Distinct brain networks for adaptive and stable task control in humans, Proc Natl Acad Sci U S A, 104, 11073, 10.1073/pnas.0704320104
Dosenbach, 2010, Prediction of individual brain maturity using fMRI, Science, 329, 1358, 10.1126/science.1194144
Eisenberg, 2009, Longitudinal relations of children’s effortful control, impulsivity, and negative emotionality to their externalizing, internalizing, and co-occurring behavior problems, Dev Psychol, 45, 988, 10.1037/a0016213
Eisenberg, 2011, Effortful control: relations with emotion regulation, adjustment, and socialization in childhood, 263
Fair, 2007, Development of distinct control networks through segregation and integration, Proc Natl Acad Sci U S A, 104, 13507, 10.1073/pnas.0705843104
Fair, 2008, The maturing architecture of the brain’s default network, Proc Natl Acad Sci U S A, 105, 4028, 10.1073/pnas.0800376105
Fair, 2010, Atypical default network connectivity in youth with ADHD, Biol Psychiatry, 68, 1084, 10.1016/j.biopsych.2010.07.003
Fitzmaurice, 2011
Flavell, 1999, Cognitive development: children’s knowledge about the mind, Annu Rev Psychol, 50, 21, 10.1146/annurev.psych.50.1.21
Fox, 2005, The human brain is intrinsically organized into dynamic, anticorrelated functional networks, Proc Natl Acad Sci U S A, 102, 9673, 10.1073/pnas.0504136102
Fox, 2009, The global signal and observed anticorrelated resting state brain networks, J Neurophysiol, 101, 3270, 10.1152/jn.90777.2008
Fransson, 2007, Resting-state networks in the infant brain, Proc Natl Acad Sci U S A, 104, 15531, 10.1073/pnas.0704380104
Frings, 2011, Quantifying change in individual subjects affected by frontotemporal lobar degeneration using automated longitudinal MRI volumetry, Hum Brain Mapp, 33, 1526, 10.1002/hbm.21304
Friston, 2007
Frith, 2003, Development and neurophysiology of mentalizing, Philos Trans R Soc London B Biol Sci, 358, 459, 10.1098/rstb.2002.1218
Fuchs, 2001, Boundary element method volume conductor models for EEG source reconstruction, Clin Neurophysiol, 112, 1400, 10.1016/S1388-2457(01)00589-2
Furl, 2007, Experience-dependent coding of facial expression in superior temporal sulcus, PNAS, 104, 13485, 10.1073/pnas.0702548104
Furl, 2010, Modulation of perception and brain activity by predictable trajectories of facial expressions, Cereb Cortex, 20, 694, 10.1093/cercor/bhp140
Gao, 2009, Evidence on the emergence of the brain’s default network from 2-week-old to 2-year-old healthy pediatric subjects, Proc Natl Acad Sci U S A, 106, 6790, 10.1073/pnas.0811221106
Gao, 2013, The synchronization within and interaction between the default and dorsal attention networks in early infancy, Cereb Cortex, 23, 594, 10.1093/cercor/bhs043
Gao, 2015, Development of human brain cortical network architecture during infancy, Brain Struct Funct, 220, 1173, 10.1007/s00429-014-0710-3
Gilbert, 2006, Differential functions of lateral and medial rostral prefrontal cortex area 10 revealed by brain-behavior associations, Cereb Cortex, 16, 1783, 10.1093/cercor/bhj113
Gilbert, 2007, Comment on “Wandering minds: the default network and stimulus-Independent thought”, Science, 317, 43, 10.1126/science.1140801
Greicius, 2004, Default-mode network activity distinguishes Alzheimer’s disease from healthy aging: evidence from functional MRI, Proc Natl Acad Sci U S A, 101, 4637, 10.1073/pnas.0308627101
Gruber, 2008, Sources of synchronized induced gamma-band responses during a simple object recognition task: a replication study in human MEG, Brain Res, 1196, 74, 10.1016/j.brainres.2007.12.037
Guillaume, 2014, Fast and accurate modelling of longitudinal and repeated measures neuroimaging data, NeuroImage, 94, 287, 10.1016/j.neuroimage.2014.03.029
Gusnard, 2001, Medial prefrontal cortex and self-referential mental activity: relation to a default mode of brain function, Proc Natl Acad Sci U S A, 98, 4259, 10.1073/pnas.071043098
Hall, 2013, Using variance information in magnetoencephalography measures of functional connectivity, Neuroimage, 67, 203, 10.1016/j.neuroimage.2012.11.011
Hall, 2014, The relationship between MEG and fMRI, Neuroimage, 102, 80, 10.1016/j.neuroimage.2013.11.005
Hamilton, 2011, Default-mode and task-positive network activity in major depressive disorder: implications for adaptive and maladaptive rumination, Biol Psychiatry, 70, 327, 10.1016/j.biopsych.2011.02.003
Hedman, 2011, Human brain changes across the life span: a review of 56 longitudinal magnetic resonance imaging studies, Hum Brain Mapp, 33, 1987, 10.1002/hbm.21334
Hillebrand, 2005, Beamformer analysis of MEG data, Int Rev Neurobiol, 68, 149, 10.1016/S0074-7742(05)68006-3
Hipp, 2015, BOLD fMRI correlation reflects frequency-specific neuronal correlation, Curr Biol, 25, 1368, 10.1016/j.cub.2015.03.049
Hipp, 2012, Large-scale cortical correlation structure of spontaneous oscillatory activity, Nat Neurosci, 15, 884, 10.1038/nn.3101
Hlinka, 2010, Slow EEG pattern predicts reduced intrinsic functional connectivity in the default mode network: an inter-subject analysis, NeuroImage, 53, 239, 10.1016/j.neuroimage.2010.06.002
Hua, 2010, Sex and age differences in atrophic rates: an ADNI study with n=1368 MRI scans, Neurobiol Aging, 31, 1463, 10.1016/j.neurobiolaging.2010.04.033
Immordino-Yang, 2012, Rest is not idleness: implications of the brain’s default mode for human development and education, Perspect Psychol Sci, 7, 352, 10.1177/1745691612447308
Inuggi, 2014, Brain functional connectivity changes in children that differ in impulsivity temperamental trait, Front Behav Neurosci, 8, 156, 10.3389/fnbeh.2014.00156
Jann, 2009, BOLD correlates of EEG alpha phase-locking and the fMRI default mode network, NeuroImage, 45, 903, 10.1016/j.neuroimage.2009.01.001
Jann, 2010, Topographic electrophysiological signatures of fMRI resting state networks, PloS ONE, 5, e12945, 10.1371/journal.pone.0012945
Kail RV (1990) The development of memory in children freeman, New York.
Kelley, 2015, In search of a human self-regulation system, Annu Rev Neurosci, 38, 389, 10.1146/annurev-neuro-071013-014243
Kilner, 2010, Topological inference for EEG and MEG, Ann Appl Stat, 4, 1272, 10.1214/10-AOAS337
Klimesch, 1999, EEG alpha and theta oscillations reflect cognitive and memory performance: a review and analysis, Brain Res Rev, 29, 169, 10.1016/S0165-0173(98)00056-3
Knyazev, 2013, EEG correlates of self-referential processing, Front Hum Neurosci, 7, 264, 10.3389/fnhum.2013.00264
Knyazev, 2011, The default mode network and EEG alpha oscillations: an independent component analysis, Brain Res, 1402, 67, 10.1016/j.brainres.2011.05.052
Knyazev, 2016, Task-positive and task-negative networks and their relation to depression: EEG beamformer analysis, Behav Brain Res, 306, 160, 10.1016/j.bbr.2016.03.033
Krings, 1999, Accuracy of EEG dipole source localization using implanted sources in the human brain, Clin Neurophysiol, 110, 106, 10.1016/S0013-4694(98)00106-0
Laarne, 2000, Effect of EEG electrode density on dipole localization accuracy using two realistically shaped skull resistivity models, Brain Topogr, 12, 249, 10.1023/A:1023422504025
Langeslag, 2013, Functional connectivity between parietal and frontal brain regions and intelli- gence in young children: the generation R study, Hum Brain Mapp, 34, 3299, 10.1002/hbm.22143
Lansbergen, 2011, The increase in theta/beta ratio on resting-state EEG in boys with attention-deficit/hyperactivity disorder is mediated by slow alpha peak frequency, Prog Neuropsychopharmacol Biol Psychiatry, 35, 47, 10.1016/j.pnpbp.2010.08.004
Lantz, 2003, Epileptic source localization with high density EEG: how many electrodes are needed?, Clin Neurophysiol, 114, 63, 10.1016/S1388-2457(02)00337-1
Li, 2013, Multiscale adaptive generalized estimating equations for longitudinal neuroimaging data, Neuroimage, 72, 91, 10.1016/j.neuroimage.2013.01.034
Litvak, 2010, Optimized beamforming for simultaneous MEG and intracranial local field potential recordings in deep brain stimulation patients, Neuroimage, 50, 1578, 10.1016/j.neuroimage.2009.12.115
Litvak, 2011, EEG and MEG data analysis in SPM8, Comput Intell Neurosci, 852961, 1, 10.1155/2011/852961
Liu, 2010, Large-scale spontaneous fluctuations and correlations in brain electrical activity observed with magnetoencephalography, NeuroImage, 51, 102, 10.1016/j.neuroimage.2010.01.092
Locascio, 2011, An overview of longitudinal data analysis methods for neurological research, Dement Geriatr Cogn Disord, 1, 330, 10.1159/000330228
Luckhoo, 2012, Inferring task-related networks using independent component analysis in magnetoencephalography, Neuroimage, 62, 530, 10.1016/j.neuroimage.2012.04.046
Luhmann, 2008, Neural dissociation of delay and uncertainty in intertemporal choice, J Neurosci, 28, 14459, 10.1523/JNEUROSCI.5058-08.2008
MacDonald, 2008, Effortful control, explicit processing, and the regulation of human evolved predispositions, Psychol Rev, 115, 1012, 10.1037/a0013327
Mantini, 2007, Electrophysiological signatures of resting state networks in the human brain, Proc Natl Acad Sci U S A, 104, 13170, 10.1073/pnas.0700668104
Mantini, 2011, A signal-processing pipeline for magnetoencephalography resting-state networks, Brain Connect, 1, 49, 10.1089/brain.2011.0001
Marchetti, 2012, The default mode network and recurrent depression: a neurobiological model of cognitive risk factors, Neuropsychol Rev, 22, 229, 10.1007/s11065-012-9199-9
Marzetti, 2014, Magnetoencephalographic alpha band connectivity reveals differential default mode network interactions during focused attention and open monitoring meditation, Front Hum Neurosci, 8, 832, 10.3389/fnhum.2014.00832
McFarquhar, 2016, Multivariate and repeated measures MRM: a new toolbox for dependent and multimodal group-level neuroimaging data, Neuroimage, 132, 373, 10.1016/j.neuroimage.2016.02.053
Michels, 2013, Developmental changes of functional and directed resting-state connectivities associated with neuronal oscillations in EEG, NeuroImage, 81, 231, 10.1016/j.neuroimage.2013.04.030
Miskovic, 2015, Developmental changes in spontaneous electrocortical activity and network organization from early to late childhood, NeuroImage, 118, 237, 10.1016/j.neuroimage.2015.06.013
Moffitt, 2011, A gradient of childhood self-control predicts health, wealth, and public safety, Proc Natl Acad Sci U S A, 108, 2693, 10.1073/pnas.1010076108
Muetzel, 2016, Resting-state networks in 6-to-10 year old children, Hum Brain Mapp, 10.1002/hbm.23309
Murphy, 2009, The impact of global signal regression on resting state correlations: are anti-correlated networks introduced?, NeuroImage, 44, 893, 10.1016/j.neuroimage.2008.09.036
Niedermeyer, 2004
Nugent, 2015, Group differences in MEG-ICA derived resting state networks: application to major depressive disorder, NeuroImage, 118, 1, 10.1016/j.neuroimage.2015.05.051
O’Neill, 2015, Measuring electrophysiological connectivity by power envelope correlation: a technical review on MEG methods, Phys Med Biol, 60, R271, 10.1088/0031-9155/60/21/R271
Ostwald, 2012, Evidence for neural encoding of Bayesian surprise in human somatosensation, NeuroImage, 62, 177, 10.1016/j.neuroimage.2012.04.050
Pantazis, 2005, A comparison of random field theory and permutation methods for the statistical analysis of MEG data, NeuroImage, 25, 383, 10.1016/j.neuroimage.2004.09.040
Preacher, 2008
Raichle, 2015, The brain’s default mode network, Annu Rev Neurosci, 38, 433, 10.1146/annurev-neuro-071013-014030
Raichle, 2001, A default mode of brain function, Proc Natl Acad Sci U S A, 98, 676, 10.1073/pnas.98.2.676
Resnick, 2010, Longitudinal cognitive decline is associated with ibrillary amyloid-beta measured by [11C] PiB, Neurology, 74, 807, 10.1212/WNL.0b013e3181d3e3e9
Richards, 2016, A database of age-appropriate average MRI templates, NeuroImage, 124, 1254, 10.1016/j.neuroimage.2015.04.055
Rilling, 2006, Human and nonhuman primate brains: are they allometrically scaled versions of the same design?, Evol Anthropol Issues News Rev, 15, 65, 10.1002/evan.20095
Rothbart, 2007, Temperament, development, and personality, Curr Dir Psychol Sci, 16, 207, 10.1111/j.1467-8721.2007.00505.x
Rothbart, 2000, Temperament and personality: origins and outcomes, J Pers Soc Psychol, 55, 958
Sadaghiani, 2010, Intrinsic connectivity networks, alpha oscillations, and tonic alertness: a simultaneous electroencephalography/functional magnetic resonance imaging study, J Neurosci, 30, 10243, 10.1523/JNEUROSCI.1004-10.2010
Sadaghiani, 2012, Alpha-band phase synchrony is related to activity in the fronto-parietal adaptive control network, J Neurosci, 32, 14305, 10.1523/JNEUROSCI.1358-12.2012
Sato, 2014, Age effects on the default mode and control networks in typically developing children, J Psychiatry Res, 58, 89, 10.1016/j.jpsychires.2014.07.004
Schneider, 1997
Schoffelen, 2009, Source connectivity analysis with MEG and EEG, Hum Brain Mapp, 30, 1857, 10.1002/hbm.20745
Sedley, 2012, Gamma band pitch responses in human auditory cortex measured with magnetoencephalography, NeuroImage, 59, 1904, 10.1016/j.neuroimage.2011.08.098
Seeley, 2007, Dissociable intrinsic connectivity networks for salience processing and executive control, J Neurosci, 27, 2349, 10.1523/JNEUROSCI.5587-06.2007
Shannon, 2011, Premotor functional connectivity predicts impulsivity in juvenile offenders, Proc Natl Acad Sci U S A, 108, 11241, 10.1073/pnas.1108241108
Sherman, 2014, Development of the Default Mode and Central Executive Networks across early adolescence: a longitudinal study, Dev Cogn Neurosci, 10, 148, 10.1016/j.dcn.2014.08.002
Shirer, 2011, Decoding subject-driven cognitive states with whole-brain connectivity patterns, Cereb Cortex, 22, 158, 10.1093/cercor/bhr099
Sidtis, 2010, Longitudinal cerebral blood flow changes during speech in hereditary ataxia, Brain Lang, 114, 43, 10.1016/j.bandl.2010.03.007
Siems, 2016, Measuring the cortical correlation structure of spontaneous oscillatory activity with EEG and MEG, NeuroImage, 129, 345, 10.1016/j.neuroimage.2016.01.055
Simonds, 2007, Effortful control, executive attention, and emotional regulation in 7–10-year-old children, Cognitive Dev, 22, 474, 10.1016/j.cogdev.2007.08.009
Skup, 2012, Multiscale adaptive marginal analysis of longitudinal neuroimaging data with time-varying covariates, Biometrics, 68, 1083, 10.1111/j.1541-0420.2012.01767.x
Smit, 2012, The brain matures with stronger functional connectivity and decreased randomness of its network, PloS One, 7, e36896, 10.1371/journal.pone.0036896
Smith, 2009, Correspondence of the brain’s functional architecture during activation and rest, Proc Natl Acad Sci U S A, 106, 13040, 10.1073/pnas.0905267106
Solé-Padullés, 2016, Intrinsic connectivity networks from childhood to late adolescence: effects of age and sex, Dev Cogn Neurosci, 17, 35, 10.1016/j.dcn.2015.11.004
Song, 2015, EEG source localization: sensor density and head surface coverage, J Neurosci Methods, 256, 9, 10.1016/j.jneumeth.2015.08.015
Supekar, 2009, Development of large-scale functional brain networks in children. PloS Biol. 7:e1000157, Neurosci, 171, 622
Supp, 2007, Directed cortical information flow during human object recognition: analyzing induced EEG gamma-band responses in brain’s source space, PloS ONE, 2, e684, 10.1371/journal.pone.0000684
Tarokh L, Carskadon MA, Achermann P (2010) Developmental changes in brain connectivity assessed using the sleep EEG.
Thatcher, 1987, Human cerebral hemispheres develop at different rates and ages, Science, 236, 1110, 10.1126/science.3576224
Thatcher, 2008, Development of cortical connections as measured by EEG coherence and phase delays, Hum Brain Mapp, 29, 1400, 10.1002/hbm.20474
Thomason, 2011, Resting-state fMRI can reliably map neural networks in children, Neuroimage, 55, 165, 10.1016/j.neuroimage.2010.11.080
Van Dijk, 2009, Intrinsic functional connectivity as a tool for human connectomics: theory, properties, and optimization, J Neurophysiol, 103, 297, 10.1152/jn.00783.2009
Van Veen, 1997, Localization of brain electrical activity via linearly constrained minimum variance spatial filtering, IEEE Trans Biomed Eng, 44, 867, 10.1109/10.623056
Verstraeten, 2009, Temperament and risk for depressive symptoms in adolescence: mediation by rumination and moderation by effortful control, J Abnorm Child Psychol, 37, 349, 10.1007/s10802-008-9293-x
Vincent, 2008, Evidence for a frontoparietal control system revealed by intrinsic functional connectivity, J Neurophysiol, 100, 3328, 10.1152/jn.90355.2008
Vogel, 2010, Development of the brain’s functional network architecture, Neuropsychol Rev, 20, 362, 10.1007/s11065-010-9145-7
Washington, 2015, Anterior-posterior connectivity within the default mode network increases during maturation, Int J Med Biol Front, 21, 207
Weissman, 2006, The neural bases of momentary lapses in attention, Nat Neurosci, 9, 971, 10.1038/nn1727
Wens, 2014, Inter- and intra-subject variability of neuromagnetic resting state networks, Brain Topogr, 27, 620, 10.1007/s10548-014-0364-8
Wens, 2014, About the electrophysiological basis of resting state networks, Clin Neurophysiol, 125, 1711, 10.1016/j.clinph.2013.11.039
Wens, 2015, A geometric correction scheme for spatial leakage effects in MEG/EEG seed-based functional connectivity mapping, Hum Brain Mapp, 36, 4604, 10.1002/hbm.22943
Worsley, 1996, A unified statistical approach for determining significant signals in images of cerebral activation, Hum Brain Mapp, 4, 58, 10.1002/(SICI)1097-0193(1996)4:1<58::AID-HBM4>3.0.CO;2-O
Wu, 2010, Reactivity of hemodynamic responses and functional connectivity to different states of alpha synchrony: a concurrent EEG-fMRI study, Neuroimage, 52, 1252, 10.1016/j.neuroimage.2010.05.053
Wylie, 2014, Reduced brain resting-state network specificity in infants compared with adults, Neuropsychiatr Dis Treat, 10, 1349, 10.2147/NDT.S63773
Yvert, 1997, A systematic evaluation of the spherical model accuracy in EEG dipole localization, EEG Clin Neurophysiol, 102, 452, 10.1016/S0921-884X(97)96611-X
Zipunnikov V, Greven S, Caffo B, Reich DS, Crainiceanu C (2011) Longitudinal high-dimensional data analysis. Unpublished paper. Available at: http://works.bepress.com/ciprian_crainiceanu/31/.