Search Results - "Cameron Craddock, R"

Identification of autism spectrum disorder using deep learning and the ABIDE dataset by Heinsfeld, Anibal Sólon, Franco, Alexandre Rosa, Craddock, R. Cameron, Buchweitz, Augusto, Meneguzzi, Felipe

“…The goal of the present study was to apply deep learning algorithms to identify autism spectrum disorder (ASD) patients from large brain imaging dataset, based…”
Get full text

A comprehensive assessment of regional variation in the impact of head micromovements on functional connectomics by Yan, Chao-Gan, Cheung, Brian, Kelly, Clare, Colcombe, Stan, Craddock, R. Cameron, Di Martino, Adriana, Li, Qingyang, Zuo, Xi-Nian, Castellanos, F. Xavier, Milham, Michael P.

“…Functional connectomics is one of the most rapidly expanding areas of neuroimaging research. Yet, concerns remain regarding the use of resting-state fMRI…”
Get full text

Individual differences in functional connectivity during naturalistic viewing conditions by Vanderwal, Tamara, Eilbott, Jeffrey, Finn, Emily S., Craddock, R. Cameron, Turnbull, Adam, Castellanos, F. Xavier

“…Naturalistic viewing paradigms such as movies have been shown to reduce participant head motion and improve arousal during fMRI scanning relative to task-free…”
Get full text

Learning and comparing functional connectomes across subjects by Varoquaux, Gaël, Craddock, R. Cameron

“…Functional connectomes capture brain interactions via synchronized fluctuations in the functional magnetic resonance imaging signal. If measured during rest,…”
Get full text

Unraveling the Miswired Connectome: A Developmental Perspective by Di Martino, Adriana, Fair, Damien A., Kelly, Clare, Satterthwaite, Theodore D., Castellanos, F. Xavier, Thomason, Moriah E., Craddock, R. Cameron, Luna, Beatriz, Leventhal, Bennett L., Zuo, Xi-Nian, Milham, Michael P.

“…The vast majority of mental illnesses can be conceptualized as developmental disorders of neural interactions within the connectome, or developmental…”
Get full text

A whole brain fMRI atlas generated via spatially constrained spectral clustering by Craddock, R. Cameron, James, G.Andrew, Holtzheimer III, Paul E., Hu, Xiaoping P., Mayberg, Helen S.

“…Connectivity analyses and computational modeling of human brain function from fMRI data frequently require the specification of regions of interests (ROIs)…”
Get full text

The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments by Gorgolewski, Krzysztof J., Auer, Tibor, Calhoun, Vince D., Craddock, R. Cameron, Das, Samir, Duff, Eugene P., Flandin, Guillaume, Ghosh, Satrajit S., Glatard, Tristan, Halchenko, Yaroslav O., Handwerker, Daniel A., Hanke, Michael, Keator, David, Li, Xiangrui, Michael, Zachary, Maumet, Camille, Nichols, B. Nolan, Nichols, Thomas E., Pellman, John, Poline, Jean-Baptiste, Rokem, Ariel, Schaefer, Gunnar, Sochat, Vanessa, Triplett, William, Turner, Jessica A., Varoquaux, Gaël, Poldrack, Russell A.

“…The development of magnetic resonance imaging (MRI) techniques has defined modern neuroimaging. Since its inception, tens of thousands of studies using…”
Get full text

Assessment of the impact of shared brain imaging data on the scientific literature by Milham, Michael P., Craddock, R. Cameron, Son, Jake J., Fleischmann, Michael, Clucas, Jon, Xu, Helen, Koo, Bonhwang, Krishnakumar, Anirudh, Biswal, Bharat B., Castellanos, F. Xavier, Colcombe, Stan, Di Martino, Adriana, Zuo, Xi-Nian, Klein, Arno

“…Data sharing is increasingly recommended as a means of accelerating science by facilitating collaboration, transparency, and reproducibility. While few oppose…”
Get full text

Predicting brain-age from multimodal imaging data captures cognitive impairment by Liem, Franziskus, Varoquaux, Gaël, Kynast, Jana, Beyer, Frauke, Kharabian Masouleh, Shahrzad, Huntenburg, Julia M., Lampe, Leonie, Rahim, Mehdi, Abraham, Alexandre, Craddock, R. Cameron, Riedel-Heller, Steffi, Luck, Tobias, Loeffler, Markus, Schroeter, Matthias L., Witte, Anja Veronica, Villringer, Arno, Margulies, Daniel S.

“…The disparity between the chronological age of an individual and their brain-age measured based on biological information has the potential to offer clinically…”
Get full text

Quantitative assessment of structural image quality by Rosen, Adon F.G., Roalf, David R., Ruparel, Kosha, Blake, Jason, Seelaus, Kevin, Villa, Lakshmi P., Ciric, Rastko, Cook, Philip A., Davatzikos, Christos, Elliott, Mark A., Garcia de La Garza, Angel, Gennatas, Efstathios D., Quarmley, Megan, Schmitt, J. Eric, Shinohara, Russell T., Tisdall, M. Dylan, Craddock, R. Cameron, Gur, Raquel E., Gur, Ruben C., Satterthwaite, Theodore D.

“…Data quality is increasingly recognized as one of the most important confounding factors in brain imaging research. It is particularly important for studies of…”
Get full text

Standardizing the intrinsic brain: Towards robust measurement of inter-individual variation in 1000 functional connectomes by Yan, Chao-Gan, Craddock, R. Cameron, Zuo, Xi-Nian, Zang, Yu-Feng, Milham, Michael P.

“…As researchers increase their efforts to characterize variations in the functional connectome across studies and individuals, concerns about the many sources…”
Get full text

Characterizing variation in the functional connectome: promise and pitfalls by Kelly, Clare, Biswal, Bharat B, Craddock, R. Cameron, Castellanos, F. Xavier, Milham, Michael P

“…The functional MRI (fMRI) community has zealously embraced resting state or intrinsic functional connectivity approaches to mapping brain organization. Having…”
Get full text

A multivariate distance-based analytic framework for connectome-wide association studies by Shehzad, Zarrar, Kelly, Clare, Reiss, Philip T., Cameron Craddock, R., Emerson, John W., McMahon, Katie, Copland, David A., Xavier Castellanos, F., Milham, Michael P.

“…The identification of phenotypic associations in high-dimensional brain connectivity data represents the next frontier in the neuroimaging connectomics era…”
Get full text

Neuroimaging after mild traumatic brain injury: review and meta-analysis by Eierud, Cyrus, Craddock, R Cameron, Fletcher, Sean, Aulakh, Manek, King-Casas, Brooks, Kuehl, Damon, LaConte, Stephen M

“…This paper broadly reviews the study of mild traumatic brain injury (mTBI), across the spectrum of neuroimaging modalities. Among the range of imaging methods,…”
Get full text

An integrated framework for targeting functional networks via transcranial magnetic stimulation by Opitz, Alexander, Fox, Michael D., Craddock, R. Cameron, Colcombe, Stan, Milham, Michael P.

“…Transcranial magnetic stimulation (TMS) is a powerful investigational tool for in vivo manipulation of regional or network activity, with a growing number of…”
Get full text

BIDS apps: Improving ease of use, accessibility, and reproducibility of neuroimaging data analysis methods by Gorgolewski, Krzysztof J, Alfaro-Almagro, Fidel, Auer, Tibor, Bellec, Pierre, Capotă, Mihai, Chakravarty, M Mallar, Churchill, Nathan W, Cohen, Alexander Li, Craddock, R Cameron, Devenyi, Gabriel A, Eklund, Anders, Esteban, Oscar, Flandin, Guillaume, Ghosh, Satrajit S, Guntupalli, J Swaroop, Jenkinson, Mark, Keshavan, Anisha, Kiar, Gregory, Liem, Franziskus, Raamana, Pradeep Reddy, Raffelt, David, Steele, Christopher J, Quirion, Pierre-Olivier, Smith, Robert E, Strother, Stephen C, Varoquaux, Gaël, Wang, Yida, Yarkoni, Tal, Poldrack, Russell A

“…The rate of progress in human neurosciences is limited by the inability to easily apply a wide range of analysis methods to the plethora of different datasets…”
Get full text

A correspondence between individual differences in the brain's intrinsic functional architecture and the content and form of self-generated thoughts by Gorgolewski, Krzysztof J, Lurie, Dan, Urchs, Sebastian, Kipping, Judy A, Craddock, R Cameron, Milham, Michael P, Margulies, Daniel S, Smallwood, Jonathan

“…Although neural activity often reflects the processing of external inputs, intrinsic fluctuations in activity have been observed throughout the brain. These…”
Get full text

Addressing head motion dependencies for small-world topologies in functional connectomics by Yan, Chao-Gan, Craddock, R Cameron, He, Yong, Milham, Michael P

“…Graph theoretical explorations of functional interactions within the human connectome, are rapidly advancing our understanding of brain architecture. In…”
Get full text

Common intrinsic connectivity states among posteromedial cortex subdivisions: Insights from analysis of temporal dynamics by Yang, Zhen, Craddock, R. Cameron, Margulies, Daniel S., Yan, Chao-Gan, Milham, Michael P.

“…Perspectives of human brain functional connectivity continue to evolve. Static representations of functional interactions between brain regions are rapidly…”
Get full text

Enhancing studies of the connectome in autism using the autism brain imaging data exchange II by Di Martino, Adriana, O’Connor, David, Chen, Bosi, Alaerts, Kaat, Anderson, Jeffrey S., Assaf, Michal, Balsters, Joshua H., Baxter, Leslie, Beggiato, Anita, Bernaerts, Sylvie, Blanken, Laura M. E., Bookheimer, Susan Y., Braden, B. Blair, Byrge, Lisa, Castellanos, F. Xavier, Dapretto, Mirella, Delorme, Richard, Fair, Damien A., Fishman, Inna, Fitzgerald, Jacqueline, Gallagher, Louise, Keehn, R. Joanne Jao, Kennedy, Daniel P., Lainhart, Janet E., Luna, Beatriz, Mostofsky, Stewart H., Müller, Ralph-Axel, Nebel, Mary Beth, Nigg, Joel T., O’Hearn, Kirsten, Solomon, Marjorie, Toro, Roberto, Vaidya, Chandan J., Wenderoth, Nicole, White, Tonya, Craddock, R. Cameron, Lord, Catherine, Leventhal, Bennett, Milham, Michael P.

“…The second iteration of the Autism Brain Imaging Data Exchange (ABIDE II) aims to enhance the scope of brain connectomics research in Autism Spectrum Disorder…”
Get full text