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<h1>Publications<a class="headerlink" href="#publications" title="Permalink to this headline">¶</a></h1>
<p>To reference the NKI-RS, please cite the following article:</p>
<ol class="arabic simple">
<li>Nooner et al, (2012). <a class="reference external" href="http://www.ncbi.nlm.nih.gov/pubmed/23087608">The NKI-Rockland Sample: A model for accelerating the pace of discovery science in psychiatry.</a> Frontiers in neuroscience 6, 152.</li>
</ol>
<p>The following publications discuss NKI-RS in the context of large-scale data-sharing efforts:</p>
<ol class="arabic simple">
<li>Castellanos, F. X., Di Martino, A., Craddock, R. C., Mehta, A., D.,
Milham, M. P. (2013). <a class="reference external" href="http://www.ncbi.nlm.nih.gov/pubmed/23631991">Clinical applications of the functional
connectome.</a>
Neuroimage 80: 527-540.</li>
<li>Craddock, R. C., Tungaraza, R. L., & Milham, M. P. (2015).
Connectomics and new approaches for analyzing human brain functional
connectivity.<em>GigaScience</em>, <em>4</em>(1), 1.</li>
<li>Di Martino, A., Fair, D. A., Kelly, C., Satterthwaite, T. D.,
Castellanos, F. X., Thomason, M. E., ... & Milham, M. P. (2014).
Unraveling the miswired connectome: a developmental perspective.
<em>Neuron</em>, <em>83</em>(6), 1335-1353.</li>
<li>Gorgolewski, K. J., Margulies, D.S., Milham, M. P. (2013). <a class="reference external" href="http://journal.frontiersin.org/Journal/10.3389/fnins.2013.00009/abstract">Making
data sharing count: A publication-based
solution.</a>
Frontiers in neuroscience 7, 9.</li>
<li>GOTO, M., ABE, O., MIYATI, T., YAMASUE, H., GOMI, T., & TAKEDA, T.
(2016). Head Motion and Correction Methods in Resting-state
Functional MRI. <em>Magnetic Resonance in Medical Sciences</em>, <em>15</em>(2),
178-186.</li>
<li>Keator, D.B., Helmer, K., Steffener, J., Turner, J.A., Van Erp, T.
G., Gadde, S., Ashish, N., Burns, G. A., Nichols, B. N. (2013).
<a class="reference external" href="http://www.ncbi.nlm.nih.gov/pubmed/23727024">Towards structured sharing of raw and derived neuroimaging data
across existing
resources.</a>
Neuroimage 82: 647-661.</li>
<li>King, M. D., Wood, D., Miller, B., Kelly, R., Landis, D., Courtney,
W., ... & Calhoun, V. D. (2014). Automated collection of imaging and
phenotypic data to centralized and distributed data repositories.</li>
<li>Lavagnino, L., Mwangi, B., Bauer, I. E., Cao, B., Selvaraj, S.,
Prossin, A., & Soares, J. C. (2016). Reduced Inhibitory Control
Mediates the Relationship Between Cortical Thickness in the Right
Superior Frontal Gyrus and Body Mass Index.
<em>Neuropsychopharmacology</em>.</li>
<li>Milham, M. P. (2012). <a class="reference external" href="http://www.ncbi.nlm.nih.gov/pubmed/22284177">Open Neuroscience Solutions for the
Connectome-wide Association
Era.</a> Neuron 73, no.
2: 214-218.</li>
<li>Mennes, M., Biswal, B. B., Castellanos, F. X., Milham, M. P. (2013).
<a class="reference external" href="http://www.ncbi.nlm.nih.gov/pubmed/23123682">Making Data Sharing Work: The FCP/INDI
Experience.</a>
Neuroimage 82: 683-691.</li>
<li>Nichols, B. N., Mejino, J. L., Detwiler, L. T., Nilsen, T. T.,
Martone, M. E., Turner, J. A., ... & Brinkley, J. F. (2014).
Neuroanatomical domain of the foundational model of anatomy ontology.
<em>Journal of biomedical semantics</em>,<em>5</em>(1), 1.</li>
<li>Panta, S. R., Wang, R., Fries, J., Kalyanam, R., Speer, N., Banich,
M., ... & Turner, J. A. (2016). A Tool for Interactive Data
Visualization: Application to Over 10,000 Brain Imaging and Phantom
MRI Data Sets. <em>Frontiers in neuroinformatics</em>, <em>10</em>.</li>
<li>Poldrack, R. A., Barch, D. M., Mitchell, J. P., Wager, T.D., Wagner,
A. D., Devlin, J. T., Cumba, C., Koyejo, O., Milham, M. P. (2013).
<a class="reference external" href="http://www.ncbi.nlm.nih.gov/pubmed/23847528">Toward Open Sharing of Task-based FMRI Data: The OpenfMRI
Project.</a>Frontiers
in neuroinformatics 7.</li>
<li>Poldrack, R. A., Gorgolewski, K.J. (2013). <a class="reference external" href="http://www.nature.com/neuro/journal/v17/n11/full/nn.3818.html">Making big data open:
data sharing in
neuroimaging.</a>
Nat. Neurosci. 17, 1510–1517.</li>
<li>Pool, E. M., Rehme, A. K., Eickhoff, S. B., Fink, G. R., & Grefkes,
C. (2015). Functional resting-state connectivity of the human motor
network: Differences between right-and left-handers. <em>NeuroImage</em>,
<em>109</em>, 298-306.</li>
<li>Puccio, B., Pooley, J. P., Pellman, J. S., Taverna, E. C., &
Craddock, R. C. (2016). The Preprocessed Connectomes Project
Repository of Manually Corrected Skull-stripped T1-weighted
Anatomical MRI Data. <em>bioRxiv</em>, 067017.</li>
<li>Somandepalli, K., Kelly, C., Reiss, P. T., Zuo, X. N., Craddock, R.
C., Yan, C. G., ... & Di Martino, A. (2015). Short-term test–retest
reliability of resting state fMRI metrics in children with and
without attention-deficit/hyperactivity disorder. <em>Developmental
Cognitive Neuroscience</em>, <em>15</em>, 83-93.</li>
</ol>
<p>The following publications from researchers around the world have utilized data from the NKI-RS:</p>
<ol class="arabic simple">
<li>Amft, M., Bzdok, D., Laird, A. R., Fox, P. T., Schilbach, L., &
Eickhoff, S. B. (2014). <a class="reference external" href="http://www.ncbi.nlm.nih.gov/pubmed/24399179">Definition and characterization of an
extended social-affective default
network.</a> Brain
Structure and Function, Advance online publication. doi:
10.1007/s00429-013-0698-0.</li>
<li>Basu, A. P., Taylor, P. N., Lowther, E., Forsyth, E. O., Blamire, A.
M., & Forsyth, R. J. (2015). Structural connectivity in a paediatric
case of anarchic hand syndrome. <em>BMC neurology</em>, <em>15</em>(1), 234.</li>
<li>Betzel, R. F., Avena-Koenigsberger, A., Goñi, J., He, Y., De Reus, M.
A., Griffa, A., ... & Van Den Heuvel, M. (2016). Generative models of
the human connectome. <em>Neuroimage</em>, <em>124</em>, 1054-1064.</li>
<li>Betzel, R. F., Byrge, L., He, Y., Goni, J., Zuo, X. N., & Sporns, O.
(2014). <a class="reference external" href="http://www.ncbi.nlm.nih.gov/pubmed/?term=Changes+in+structural+and+functional+connectivity+among+resting-state+networks+across+the+human+lifespan">Changes in structural and functional connectivity among
resting-state networks across the human
lifespan.</a>
Neuroimage, in press.</li>
<li>Betzel, R. F., Mišić, B., He, Y., Rumschlag, J., Zuo, X. N., &
Sporns, O. (2015). Functional brain modules reconfigure at multiple
scales across the human lifespan. <em>arXiv preprint arXiv:1510.08045</em>.</li>
<li>Bhushan, C., Haldar, J. P., Choi, S., Joshi, A. A., Shattuck, D. W.,
& Leahy, R. M. (2015). Co-registration and distortion correction of
diffusion and anatomical images based on inverse contrast
normalization. <em>Neuroimage</em>,<em>115</em>, 269-280.</li>
<li>Billings, J. C., Medda, A., & Keilholz, S. D. (2013, November).
Agglomerative clustering for resting state MRI. In <em>Neural
Engineering (NER), 2013 6th International IEEE/EMBS Conference on</em>
(pp. 553-556). IEEE.</li>
<li>Bottger, J., Schurade, R., Jakobsen, E., Schaefer, A., & Margulies,
D. S. (2014). <a class="reference external" href="http://www.ncbi.nlm.nih.gov/pubmed/?term=Connexel+visualization%3A+a+software+implementation+of+glyphs+and+edge-bundling+for+dense+connectivity+data+using+brainGL">Connexel visualization: a software implementation of
glyphs and edge-bundling for dense connectivity data using
braingl.</a>Frontiers
in neuroscience, 8, 15.</li>
<li>Brown, J. A., Rudie, J. D., Bandrowski, A., Van Horn, J. D., &
Bookheimer, S. Y. (2012). <a class="reference external" href="http://www.ncbi.nlm.nih.gov/pubmed/23226127">The ucla multimodal connectivity database:
a web-based platform for brain connectivity matrix sharing and
analysis.</a>Frontiers
in neuroinformatics, 6, 28.</li>
<li>Bzdok, D. et al. (2014). <a class="reference external" href="http://www.sciencedirect.com/science/article/pii/S1053811914009112">Subspecialization in the human posterior
medial
cortex.</a>
NeuroImage</li>
<li>Bzdok, D., Langner, R., Schilbach, L., Engemann, D. A., Laird, A. R.,
Fox, P. T., & Eickhoff, S. B. (2013). <a class="reference external" href="http://www.ncbi.nlm.nih.gov/pubmed/23755001">Segregation of the human
medial prefrontal cortex in social
cognition.</a> Frontiers
in human neuroscience, 7, 232.</li>
<li>Camilleri, J. A., Reid, A. T., Müller, V. I., Grefkes, C., Amunts,
K., & Eickhoff, S. B. (2015). Multi-modal imaging of neural
correlates of motor speed performance in the Trail Making Test.
<em>Frontiers in neurology</em>, <em>6</em>.</li>
<li>Cao, M., Wang, J. H., Dai, Z. J., Cao, X. Y., Jiang, L. L., Fan, F.
M., Song, X., Xia, M., Shu, N., Dong, Q., Milham, M.P., Castellanos,
F. X., Zuo, X., & He, Y. (2014). <a class="reference external" href="http://www.sciencedirect.com/science/article/pii/S1878929313000960">Topological organization of the
human brain functional connectome across the
lifespan.</a>
Developmental cognitive neuroscience, 7, 76-93.</li>
<li>Chase, H. W., Clos, M., Dibble, S., Fox, P., Grace, A. A., Phillips,
M. L., & Eickhoff, S. B. (2015). Evidence for an anterior–posterior
differentiation in the human hippocampal formation revealed by
meta-analytic parcellation of fMRI coordinate maps: Focus on the
subiculum. <em>NeuroImage</em>, <em>113</em>, 44-60.</li>
<li>Chen, R., Nixon, E., & Herskovits, E. (2016). Advanced connectivity
analysis (ACA): a large scale functional connectivity data mining
environment. <em>Neuroinformatics</em>, <em>14</em>(2), 191-199.</li>
<li>Chodkowski, B. A., Cowan, R. L., & Niswender, K. D. (2016). Imbalance
in resting state functional connectivity is associated with eating
behaviors and adiposity in children. <em>Heliyon</em>, <em>2</em>(1), e00058.</li>
<li>Chen, H., Kelly, C., Castellanos, F. X., He, Y., Zuo, X. N., & Reiss,
P. T. (2015). Quantile rank maps: A new tool for understanding
individual brain development. <em>NeuroImage</em>, <em>111</em>, 454-463.</li>
<li>Cieslik, E. C., Seidler, I., Laird, A. R., Fox, P. T., & Eickhoff, S.
B. (2016). Different involvement of subregions within dorsal premotor
and medial frontal cortex for pro-and antisaccades. <em>Neuroscience &
Biobehavioral Reviews</em>, <em>68</em>, 256-269.</li>
<li>Clewett, D., Bachman, S., & Mather, M. (2014). <a class="reference external" href="http://www.ncbi.nlm.nih.gov/pubmed/?term=Age-Related+Reduced+Prefrontal-Amygdala+Structural+Connectivity+Is+Associated+With+Lower+Trait+Anxiety">Age-related reduced
prefrontal-amygdala structural connectivity is associated with lower
trait
anxiety.</a>
Neuropsychology, 28(4), 631-642.</li>
<li>Clos, M., Amunts, K., Laird, A. R., Fox, P. T., & Eickhoff, S. B.
(2013). <a class="reference external" href="http://www.ncbi.nlm.nih.gov/pubmed/23791915">Tackling the multifunctional nature of broca’s region
meta-analytically: co-activation-based parcellation of area
44.</a> Neuroimage, 83,
174-188.</li>
<li>Clos, M., Rottschy, C., Laird, A. R., Fox, P. T., & Eickhoff, S. B.
(2014). <a class="reference external" href="http://www.ncbi.nlm.nih.gov/pubmed/?term=Comparison+of+structural+covariance+with+functional+connectivity+approaches+exemplified+by+an+investigation+of+the+left+anterior+insula">Comparison of structural covariance with functional
connectivity approaches exemplified by an investigation of the left
anterior
insula.</a>Neuroimage,
99, 269-280.</li>
<li>Corcoran, C. M., Keilp, J. G., Kayser, J., Klim, C., Butler, P. D.,
Bruder, G. E., ... & Javitt, D. C. (2015). Emotion recognition
deficits as predictors of transition in individuals at clinical high
risk for schizophrenia: a neurodevelopmental perspective.
<em>Psychological medicine</em>, <em>45</em>(14), 2959-2973.</li>
<li>Davey, J., Cornelissen, P. L., Thompson, H. E., Sonkusare, S.,
Hallam, G., Smallwood, J., & Jefferies, E. (2015). Automatic and
controlled semantic retrieval: TMS reveals distinct contributions of
posterior middle temporal gyrus and angular gyrus. <em>The Journal of
Neuroscience</em>, <em>35</em>(46), 15230-15239.</li>
<li>Di, X., & Biswal, B. B. (2015). Characterizations of resting-state
modulatory interactions in the human brain. <em>Journal of
neurophysiology</em>, <em>114</em>(5), 2785-2796.</li>
<li>Di, X., Gohel, S., Kim, E. H., & Biswal, B. B. (2013). <a class="reference external" href="http://www.ncbi.nlm.nih.gov/pubmed/24062654">Task vs.
rest, different network configurations between the coactivation and
the resting-state brain
networks.</a> Frontiers
in human neuroscience, 7, 493.</li>
<li>Di, X., Fu, Z., Chan, S. C., Hung, Y. S., Biswal, B. B., & Zhang, Z.
(2015). Task-related functional connectivity dynamics in a
block-designed visual experiment. <em>Frontiers in human neuroscience</em>,
<em>9</em>.</li>
<li>Eickhoff, S. B., Laird, A. R., Fox, P. T., Bzdok, D., & Hensel, L.
(2014). Functional segregation of the human dorsomedial prefrontal
cortex. <em>Cerebral cortex</em>, bhu250.</li>
<li>Fiori, M., Sprechmann, P., Vogelstein, J., Musé, P., & Sapiro, G.
(2013). Robust multimodal graph matching: Sparse coding meets graph
matching.<em>Advances in Neural Information Processing Systems</em>,
127-135.</li>
<li>Fu, Zening, Xin Di, Shing-Chow Chan, Yeung-Sam Hung, Bharat B Biswal,
and Zhiguo Zhang. (2013). <a class="reference external" href="http://www.ncbi.nlm.nih.gov/pubmed/24110344">Time-varying correlation coefficients
estimation and its application to dynamic connectivity analysis of
fmri.</a> 35th Annual
International Conference of the IEEE EMBS, 2944-2947.</li>
<li>Fukushima, M., Betzel, R. F., He, Y., Zuo, X. N., & Sporns, O.
(2015). Characterizing Spatial Patterns and Flow Dynamics in
Functional Connectivity States and Their Changes across the Human
Lifespan. <em>arXiv preprint arXiv:1511.06427</em>.</li>
<li>Gastner, M. T., & Ódor, G. (2015). The topology of large Open
Connectome networks for the human brain. <em>arXiv preprint
arXiv:1512.01197</em>.</li>
<li>Genon, S., Müller, V. I., Cieslik, E., Hoffstaedter, F., Langner, R.,
Fox, P. T., & Eickhoff, S. B. (2014). Examining the right dorsal
premotor mosaic: a connectivity-based parcellation approach. In <em>OHBM
Annual Meeting</em>.</li>
<li>Gohel, S. R., & Biswal, B.B. (2014). <a class="reference external" href="http://www.ncbi.nlm.nih.gov/pubmed/24702246">Functional integration between
brain regions at rest occurs in multiple-frequency
bands.</a> Brain
connectivity, Advance online publication.
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