Research Library

  1. Home
  2. Research
  3. Research Library

Learn how you can help with a new
Autism, ADHD, Anxiety & Depression study.

CAR stands united with the Black Lives Matter movement
against racism and social injustice. Read more...

Export 160 results:
Author Title Type [ Year(Asc)]
Filters: Keyword is Brain  [Clear All Filters]
2019
A. N. Kaczkurkin, Raznahan, A., and Satterthwaite, T. D., “Sex differences in the developing brain: insights from multimodal neuroimaging.”, Neuropsychopharmacology, vol. 44, no. 1, pp. 71-85, 2019.
2018
G. Kohls, Antezana, L., Mosner, M. G., Schultz, R. T., and Yerys, B. E., “Altered reward system reactivity for personalized circumscribed interests in autism.”, Mol Autism, vol. 9, p. 9, 2018.
J. P. Owen, Bukshpun, P., Pojman, N., Thieu, T., Chen, Q., Lee, J., D'Angelo, D., Glenn, O. A., Hunter, J. V., Berman, J. I., Roberts, T. P., Buckner, R., Nagarajan, S. S., Mukherjee, P., and Sherr, E. H., “Brain MR Imaging Findings and Associated Outcomes in Carriers of the Reciprocal Copy Number Variation at 16p11.2.”, Radiology, vol. 286, no. 1, pp. 217-226, 2018.
J. D. Medaglia, Satterthwaite, T. D., Kelkar, A., Ciric, R., Moore, T. M., Ruparel, K., Gur, R. C., Gur, R. E., and Bassett, D. S., “Brain state expression and transitions are related to complex executive cognition in normative neurodevelopment.”, Neuroimage, vol. 166, pp. 293-306, 2018.
P. G. Reddy, Mattar, M. G., Murphy, A. C., Wymbs, N. F., Grafton, S. T., Satterthwaite, T. D., and Bassett, D. S., “Brain state flexibility accompanies motor-skill acquisition.”, Neuroimage, vol. 171, pp. 135-147, 2018.
Q. Ma, Zhang, T., Zanetti, M. V., Shen, H., Satterthwaite, T. D., Wolf, D. H., Gur, R. E., Fan, Y., Hu, D., Busatto, G. F., and Davatzikos, C., “Classification of multi-site MR images in the presence of heterogeneity using multi-task learning.”, Neuroimage Clin, vol. 19, pp. 476-486, 2018.
A. N. Kaczkurkin, Moore, T. M., Calkins, M. E., Ciric, R., Detre, J. A., Elliott, M. A., Foa, E. B., A de la Garza, G., Roalf, D. R., Rosen, A., Ruparel, K., Shinohara, R. T., Xia, C. H., Wolf, D. H., Gur, R. E., Gur, R. C., and Satterthwaite, T. D., “Common and dissociable regional cerebral blood flow differences associate with dimensions of psychopathology across categorical diagnoses.”, Mol Psychiatry, vol. 23, no. 10, pp. 1981-1989, 2018.
D. P. Hibar, Westlye, L. T., Doan, N. T., Jahanshad, N., Cheung, J. W., Ching, C. R. K., Versace, A., Bilderbeck, A. C., Uhlmann, A., Mwangi, B., Krämer, B., Overs, B., Hartberg, C. B., Abé, C., Dima, D., Grotegerd, D., Sprooten, E., Bøen, E., Jimenez, E., Howells, F. M., Delvecchio, G., Temmingh, H., Starke, J., Almeida, J. R. C., Goikolea, J. M., Houenou, J., Beard, L. M., Rauer, L., Abramovic, L., Bonnin, M., Ponteduro, M. F., Keil, M., Rive, M. M., Yao, N., Yalin, N., Najt, P., Rosa, P. G., Redlich, R., Trost, S., Hagenaars, S., Fears, S. C., Alonso-Lana, S., van Erp, T. G. M., Nickson, T., Chaim-Avancini, T. M., Meier, T. B., Elvsåshagen, T., Haukvik, U. K., Lee, W. H., Schene, A. H., Lloyd, A. J., Young, A. H., Nugent, A., Dale, A. M., Pfennig, A., McIntosh, A. M., Lafer, B., Baune, B. T., Ekman, C. J., Zarate, C. A., Bearden, C. E., Henry, C., Simhandl, C., McDonald, C., Bourne, C., Stein, D. J., Wolf, D. H., Cannon, D. M., Glahn, D. C., Veltman, D. J., Pomarol-Clotet, E., Vieta, E., Canales-Rodriguez, E. J., Nery, F. G., Duran, F. L. S., Busatto, G. F., Roberts, G., Pearlson, G. D., Goodwin, G. M., Kugel, H., Whalley, H. C., Ruhe, H. G., Soares, J. C., Fullerton, J. M., Rybakowski, J. K., Savitz, J., Chaim, K. T., Fatjó-Vilas, M., Soeiro-de-Souza, M. G., Boks, M. P., Zanetti, M. V., Otaduy, M. C. G., Schaufelberger, M. S., Alda, M., Ingvar, M., Phillips, M. L., Kempton, M. J., Bauer, M., Landén, M., Lawrence, N. S., van Haren, N. E. M., Horn, N. R., Freimer, N. B., Gruber, O., Schofield, P. R., Mitchell, P. B., Kahn, R. S., Lenroot, R., Machado-Vieira, R., Ophoff, R. A., Sarró, S., Frangou, S., Satterthwaite, T. D., Hajek, T., Dannlowski, U., Malt, U. F., Arolt, V., Gattaz, W. F., Drevets, W. C., Caseras, X., Agartz, I., Thompson, P. M., and Andreassen, O. A., “Cortical abnormalities in bipolar disorder: an MRI analysis of 6503 individuals from the ENIGMA Bipolar Disorder Working Group.”, Mol Psychiatry, vol. 23, no. 4, pp. 932-942, 2018.
K. Bansal, Medaglia, J. D., Bassett, D. S., Vettel, J. M., and Muldoon, S. F., “Data-driven brain network models differentiate variability across language tasks.”, PLoS Comput Biol, vol. 14, no. 10, p. e1006487, 2018.
C. C. Clements, Zoltowski, A. R., Yankowitz, L. D., Yerys, B. E., Schultz, R. T., and Herrington, J. D., “Evaluation of the Social Motivation Hypothesis of Autism: A Systematic Review and Meta-analysis.”, JAMA Psychiatry, vol. 75, no. 8, pp. 797-808, 2018.
S. N. Vandekar, Satterthwaite, T. D., Rosen, A., Ciric, R., Roalf, D. R., Ruparel, K., Gur, R. C., Gur, R. E., and Shinohara, R. T., “Faster family-wise error control for neuroimaging with a parametric bootstrap.”, Biostatistics, vol. 19, no. 4, pp. 497-513, 2018.
G. L. Baum, Roalf, D. R., Cook, P. A., Ciric, R., Rosen, A. F. G., Xia, C., Elliott, M. A., Ruparel, K., Verma, R., Tunc, B., Gur, R. C., Gur, R. E., Bassett, D. S., and Satterthwaite, T. D., “The impact of in-scanner head motion on structural connectivity derived from diffusion MRI.”, Neuroimage, vol. 173, pp. 275-286, 2018.
N. Marrus, Hall, L. P., Paterson, S. J., Elison, J. T., Wolff, J. J., Swanson, M. R., Parish-Morris, J., Eggebrecht, A. T., Pruett, J. R., Hazlett, H. C., Zwaigenbaum, L., Dager, S., Estes, A. M., Schultz, R. T., Botteron, K. N., Piven, J., and Constantino, J. N., “Language delay aggregates in toddler siblings of children with autism spectrum disorder.”, J Neurodev Disord, vol. 10, no. 1, p. 29, 2018.
C. Huchuan Xia, Ma, Z., Ciric, R., Gu, S., Betzel, R. F., Kaczkurkin, A. N., Calkins, M. E., Cook, P. A., de La Garza, A. Garcia, Vandekar, S. N., Cui, Z., Moore, T. M., Roalf, D. R., Ruparel, K., Wolf, D. H., Davatzikos, C., Gur, R. C., Gur, R. E., Shinohara, R. T., Bassett, D. S., and Satterthwaite, T. D., “Linked dimensions of psychopathology and connectivity in functional brain networks.”, Nat Commun, vol. 9, no. 1, p. 3003, 2018.
E. Varol, Sotiras, A., and Davatzikos, C., “MIDAS: Regionally linear multivariate discriminative statistical mapping.”, Neuroimage, vol. 174, pp. 111-126, 2018.
R. Ciric, Rosen, A. F. G., Erus, G., Cieslak, M., Adebimpe, A., Cook, P. A., Bassett, D. S., Davatzikos, C., Wolf, D. H., and Satterthwaite, T. D., “Mitigating head motion artifact in functional connectivity MRI.”, Nat Protoc, vol. 13, no. 12, pp. 2801-2826, 2018.
A. N. Khambhati, Sizemore, A. E., Betzel, R. F., and Bassett, D. S., “Modeling and interpreting mesoscale network dynamics.”, Neuroimage, vol. 180, no. Pt B, pp. 337-349, 2018.
D. S. Bassett, Zurn, P., and Gold, J. I., “On the nature and use of models in network neuroscience.”, Nat Rev Neurosci, vol. 19, no. 9, pp. 566-578, 2018.
Z. Yang, Gu, S., Honnorat, N., Linn, K. A., Shinohara, R. T., Aselcioglu, I., Bruce, S., Oathes, D. J., Davatzikos, C., Satterthwaite, T. D., Bassett, D. S., and Sheline, Y. I., “Network changes associated with transdiagnostic depressive symptom improvement following cognitive behavioral therapy in MDD and PTSD.”, Mol Psychiatry, vol. 23, no. 12, pp. 2314-2323, 2018.
D. M. Lydon-Staley and Bassett, D. S., “Network Neuroscience: A Framework for Developing Biomarkers in Psychiatry.”, Curr Top Behav Neurosci, vol. 40, pp. 79-109, 2018.
P. K. Reardon, Seidlitz, J., Vandekar, S., Liu, S., Patel, R., Park, M. Tae M., Alexander-Bloch, A., Clasen, L. S., Blumenthal, J. D., Lalonde, F. M., Giedd, J. N., Gur, R. C., Gur, R. E., Lerch, J. P., M Chakravarty, M., Satterthwaite, T. D., Shinohara, R. T., and Raznahan, A., “Normative brain size variation and brain shape diversity in humans.”, Science, vol. 360, no. 6394, pp. 1222-1227, 2018.
T. D. Satterthwaite, Xia, C. H., and Bassett, D. S., “Personalized Neuroscience: Common and Individual-Specific Features in Functional Brain Networks.”, Neuron, vol. 98, no. 2, pp. 243-245, 2018.
M. G. Mattar, Wymbs, N. F., Bock, A. S., Aguirre, G. K., Grafton, S. T., and Bassett, D. S., “Predicting future learning from baseline network architecture.”, Neuroimage, vol. 172, pp. 107-117, 2018.
J. M. Kernbach, Satterthwaite, T. D., Bassett, D. S., Smallwood, J., Margulies, D., Krall, S., Shaw, P., Varoquaux, G., Thirion, B., Konrad, K., and Bzdok, D., “Shared endo-phenotypes of default mode dsfunction in attention deficit/hyperactivity disorder and autism spectrum disorder.”, Transl Psychiatry, vol. 8, no. 1, p. 133, 2018.
A. N. Khambhati, Medaglia, J. D., Karuza, E. A., Thompson-Schill, S. L., and Bassett, D. S., “Subgraphs of functional brain networks identify dynamical constraints of cognitive control.”, PLoS Comput Biol, vol. 14, no. 7, p. e1006234, 2018.
A. F. Alexander-Bloch, Shou, H., Liu, S., Satterthwaite, T. D., Glahn, D. C., Shinohara, R. T., Vandekar, S. N., and Raznahan, A., “On testing for spatial correspondence between maps of human brain structure and function.”, Neuroimage, vol. 178, pp. 540-551, 2018.
D. S. Bassett, Xia, C. Huchuan, and Satterthwaite, T. D., “Understanding the Emergence of Neuropsychiatric Disorders With Network Neuroscience.”, Biol Psychiatry Cogn Neurosci Neuroimaging, vol. 3, no. 9, pp. 742-753, 2018.
N. Marrus, Eggebrecht, A. T., Todorov, A., Elison, J. T., Wolff, J. J., Cole, L., Gao, W., Pandey, J., Shen, M. D., Swanson, M. R., Emerson, R. W., Klohr, C. L., Adams, C. M., Estes, A. M., Zwaigenbaum, L., Botteron, K. N., Mckinstry, R. C., Constantino, J. N., Evans, A. C., Hazlett, H. C., Dager, S. R., Paterson, S. J., Schultz, R. T., Styner, M. A., Gerig, G., Schlaggar, B. L., Piven, J., and Pruett, J. R., “Walking, Gross Motor Development, and Brain Functional Connectivity in Infants and Toddlers.”, Cereb Cortex, vol. 28, no. 2, pp. 750-763, 2018.
S. Kelly, Jahanshad, N., Zalesky, A., Kochunov, P., Agartz, I., Alloza, C., Andreassen, O. A., Arango, C., Banaj, N., Bouix, S., Bousman, C. A., Brouwer, R. M., Bruggemann, J., Bustillo, J., Cahn, W., Calhoun, V., Cannon, D., Carr, V., Catts, S., Chen, J., Chen, J. - X., Chen, X., Chiapponi, C., Cho, K. K., Ciullo, V., Corvin, A. S., Crespo-Facorro, B., Cropley, V., De Rossi, P., Diaz-Caneja, C. M., Dickie, E. W., Ehrlich, S., Fan, F. - M., Faskowitz, J., Fatouros-Bergman, H., Flyckt, L., Ford, J. M., Fouche, J. - P., Fukunaga, M., Gill, M., Glahn, D. C., Gollub, R., Goudzwaard, E. D., Guo, H., Gur, R. E., Gur, R. C., Gurholt, T. P., Hashimoto, R., Hatton, S. N., Henskens, F. A., Hibar, D. P., Hickie, I. B., Hong, L. E., Horacek, J., Howells, F. M., Pol, H. E. Hulshoff, Hyde, C. L., Isaev, D., Jablensky, A., Jansen, P. R., Janssen, J., Jönsson, E. G., Jung, L. A., Kahn, R. S., Kikinis, Z., Liu, K., Klauser, P., Knöchel, C., Kubicki, M., Lagopoulos, J., Langen, C., Lawrie, S., Lenroot, R. K., Lim, K. O., Lopez-Jaramillo, C., Lyall, A., Magnotta, V., Mandl, R. C. W., Mathalon, D. H., McCarley, R. W., McCarthy-Jones, S., McDonald, C., McEwen, S., McIntosh, A., Melicher, T., Mesholam-Gately, R. I., Michie, P. T., Mowry, B., Mueller, B. A., Newell, D. T., O'Donnell, P., Oertel-Knöchel, V., Oestreich, L., Paciga, S. A., Pantelis, C., Pasternak, O., Pearlson, G., Pellicano, G. R., Pereira, A., J Zapata, P., Piras, F., Potkin, S. G., Preda, A., Rasser, P. E., Roalf, D. R., Roiz, R., Roos, A., Rotenberg, D., Satterthwaite, T. D., Savadjiev, P., Schall, U., Scott, R. J., Seal, M. L., Seidman, L. J., C Weickert, S., Whelan, C. D., Shenton, M. E., Kwon, J. S., Spalletta, G., Spaniel, F., Sprooten, E., Stäblein, M., Stein, D. J., Sundram, S., Tan, Y., Tan, S., Tang, S., Temmingh, H. S., Westlye, L. T., Tønnesen, S., Tordesillas-Gutierrez, D., Doan, N. T., Vaidya, J., van Haren, N. E. M., Vargas, C. D., Vecchio, D., Velakoulis, D., Voineskos, A., Voyvodic, J. Q., Wang, Z., Wan, P., Wei, D., Weickert, T. W., Whalley, H., White, T., Whitford, T. J., Wojcik, J. D., Xiang, H., Xie, Z., Yamamori, H., Yang, F., Yao, N., Zhang, G., Zhao, J., van Erp, T. G. M., Turner, J., Thompson, P. M., and Donohoe, G., “Widespread white matter microstructural differences in schizophrenia across 4322 individuals: results from the ENIGMA Schizophrenia DTI Working Group.”, Mol Psychiatry, vol. 23, no. 5, pp. 1261-1269, 2018.
2017
E. D. Gennatas, Avants, B. B., Wolf, D. H., Satterthwaite, T. D., Ruparel, K., Ciric, R., Hakonarson, H., Gur, R. E., and Gur, R. C., “Age-Related Effects and Sex Differences in Gray Matter Density, Volume, Mass, and Cortical Thickness from Childhood to Young Adulthood.”, J Neurosci, vol. 37, no. 20, pp. 5065-5073, 2017.
V. B. Puetz, Parker, D., Kohn, N., Dahmen, B., Verma, R., and Konrad, K., “Altered brain network integrity after childhood maltreatment: A structural connectomic DTI-study.”, Hum Brain Mapp, vol. 38, no. 2, pp. 855-868, 2017.
A. Galilee, Stefanidou, C., and McCleery, J. P., “Atypical speech versus non-speech detection and discrimination in 4- to 6- yr old children with autism spectrum disorder: An ERP study.”, PLoS One, vol. 12, no. 7, p. e0181354, 2017.
J. Dominic Medaglia, Pasqualetti, F., Hamilton, R. H., Thompson-Schill, S. L., and Bassett, D. S., “Brain and cognitive reserve: Translation via network control theory.”, Neurosci Biobehav Rev, vol. 75, pp. 53-64, 2017.
Y. Ghanbari, Bloy, L., Tunc, B., Shankar, V., Roberts, T. P. L., J Edgar, C., Schultz, R. T., and Verma, R., “On characterizing population commonalities and subject variations in brain networks.”, Med Image Anal, vol. 38, pp. 215-229, 2017.
A. Sharma, Wolf, D. H., Ciric, R., Kable, J. W., Moore, T. M., Vandekar, S. N., Katchmar, N., Daldal, A., Ruparel, K., Davatzikos, C., Elliott, M. A., Calkins, M. E., Shinohara, R. T., Bassett, D. S., and Satterthwaite, T. D., “Common Dimensional Reward Deficits Across Mood and Psychotic Disorders: A Connectome-Wide Association Study.”, Am J Psychiatry, vol. 174, no. 7, pp. 657-666, 2017.
E. Tang, Giusti, C., Baum, G. L., Gu, S., Pollock, E., Kahn, A. E., Roalf, D. R., Moore, T. M., Ruparel, K., Gur, R. C., Gur, R. E., Satterthwaite, T. D., and Bassett, D. S., “Developmental increases in white matter network controllability support a growing diversity of brain dynamics.”, Nat Commun, vol. 8, no. 1, p. 1252, 2017.
J. D. Lewis, Evans, A. C., Pruett, J. R., Botteron, K. N., Mckinstry, R. C., Zwaigenbaum, L., Estes, A. M., D Collins, L., Kostopoulos, P., Gerig, G., Dager, S. R., Paterson, S., Schultz, R. T., Styner, M. A., Hazlett, H. C., and Piven, J., “The Emergence of Network Inefficiencies in Infants With Autism Spectrum Disorder.”, Biol Psychiatry, vol. 82, no. 3, pp. 176-185, 2017.
S. Gu, Yang, M., Medaglia, J. D., Gur, R. C., Gur, R. E., Satterthwaite, T. D., and Bassett, D. S., “Functional hypergraph uncovers novel covariant structures over neurodevelopment.”, Hum Brain Mapp, vol. 38, no. 8, pp. 3823-3835, 2017.
B. E. Yerys, Herrington, J. D., Satterthwaite, T. D., Guy, L., Schultz, R. T., and Bassett, D. S., “Globally weaker and topologically different: resting-state connectivity in youth with autism.”, Mol Autism, vol. 8, p. 39, 2017.
A. T. Eggebrecht, Elison, J. T., Feczko, E., Todorov, A., Wolff, J. J., Kandala, S., Adams, C. M., Snyder, A. Z., Lewis, J. D., Estes, A. M., Zwaigenbaum, L., Botteron, K. N., Mckinstry, R. C., Constantino, J. N., Evans, A., Hazlett, H. C., Dager, S., Paterson, S. J., Schultz, R. T., Styner, M. A., Gerig, G., Das, S., Kostopoulos, P., Schlaggar, B. L., Petersen, S. E., Piven, J., and Pruett, J. R., “Joint Attention and Brain Functional Connectivity in Infants and Toddlers.”, Cereb Cortex, vol. 27, no. 3, pp. 1709-1720, 2017.
R. F. Betzel and Bassett, D. S., “Multi-scale brain networks.”, Neuroimage, vol. 160, pp. 73-83, 2017.
D. S. Bassett and Sporns, O., “Network neuroscience.”, Nat Neurosci, vol. 20, no. 3, pp. 353-364, 2017.
D. S. Bassett and Mattar, M. G., “A Network Neuroscience of Human Learning: Potential to Inform Quantitative Theories of Brain and Behavior.”, Trends Cogn Sci, vol. 21, no. 4, pp. 250-264, 2017.
J. J. Wolff, Swanson, M. R., Elison, J. T., Gerig, G., Pruett, J. R., Styner, M. A., Vachet, C., Botteron, K. N., Dager, S. R., Estes, A. M., Hazlett, H. C., Schultz, R. T., Shen, M. D., Zwaigenbaum, L., and Piven, J., “Neural circuitry at age 6 months associated with later repetitive behavior and sensory responsiveness in autism.”, Mol Autism, vol. 8, p. 8, 2017.
S. Gu, Betzel, R. F., Mattar, M. G., Cieslak, M., Delio, P. R., Grafton, S. T., Pasqualetti, F., and Bassett, D. S., “Optimal trajectories of brain state transitions.”, Neuroimage, vol. 148, pp. 305-317, 2017.
A. Sotiras, Toledo, J. B., Gur, R. E., Gur, R. C., Satterthwaite, T. D., and Davatzikos, C., “Patterns of coordinated cortical remodeling during adolescence and their associations with functional specialization and evolutionary expansion.”, Proc Natl Acad Sci U S A, vol. 114, no. 13, pp. 3527-3532, 2017.
R. F. Betzel, Satterthwaite, T. D., Gold, J. I., and Bassett, D. S., “Positive affect, surprise, and fatigue are correlates of network flexibility.”, Sci Rep, vol. 7, no. 1, p. 520, 2017.
A. Mitra, Snyder, A. Z., Tagliazucchi, E., Laufs, H., Elison, J., Emerson, R. W., Shen, M. D., Wolff, J. J., Botteron, K. N., Dager, S., Estes, A. M., Evans, A., Gerig, G., Hazlett, H. C., Paterson, S. J., Schultz, R. T., Styner, M. A., Zwaigenbaum, L., Schlaggar, B. L., Piven, J., Pruett, J. R., and Raichle, M., “Resting-state fMRI in sleeping infants more closely resembles adult sleep than adult wakefulness.”, PLoS One, vol. 12, no. 11, p. e0188122, 2017.
M. Ouyang, Kang, H., Detre, J. A., Roberts, T. P. L., and Huang, H., “Short-range connections in the developmental connectome during typical and atypical brain maturation.”, Neurosci Biobehav Rev, vol. 83, pp. 109-122, 2017.
D. S. Bassett and Bullmore, E. T., “Small-World Brain Networks Revisited.”, Neuroscientist, vol. 23, no. 5, pp. 499-516, 2017.
M. R. Swanson, Shen, M. D., Wolff, J. J., Elison, J. T., Emerson, R. W., Styner, M. A., Hazlett, H. C., Truong, K., Watson, L. R., Paterson, S., Marrus, N., Botteron, K. N., Pandey, J., Schultz, R. T., Dager, S. R., Zwaigenbaum, L., Estes, A. M., and Piven, J., “Subcortical Brain and Behavior Phenotypes Differentiate Infants With Autism Versus Language Delay.”, Biol Psychiatry Cogn Neurosci Neuroimaging, vol. 2, no. 8, pp. 664-672, 2017.
N. Honnorat, Parker, D., Tunc, B., Davatzikos, C., and Verma, R., “Subject-Specific Structural Parcellations Based on Randomized AB-divergences.”, Med Image Comput Comput Assist Interv, vol. 10433, pp. 407-415, 2017.
J. P. Thawani, Singh, N., Pisapia, J. M., Abdullah, K. G., Parker, D., Pukenas, B. A., Zager, E. L., Verma, R., and Brem, S., “Three-Dimensional Printed Modeling of Diffuse Low-Grade Gliomas and Associated White Matter Tract Anatomy.”, Neurosurgery, vol. 80, no. 4, pp. 635-645, 2017.
2016
S. L. Ferri, Kreibich, A. S., Torre, M., Piccoli, C. T., Dow, H., Pallathra, A. A., Li, H., Bilker, W. B., Gur, R. C., Abel, T., and Brodkin, E. S., “Activation of basolateral amygdala in juvenile C57BL/6J mice during social approach behavior.”, Neuroscience, vol. 335, pp. 184-94, 2016.
M. W. Cole, Ito, T., Bassett, D. S., and Schultz, D. H., “Activity flow over resting-state networks shapes cognitive task activations.”, Nat Neurosci, vol. 19, no. 12, pp. 1718-1726, 2016.
K. A. Linn, Gaonkar, B., Doshi, J., Davatzikos, C., and Shinohara, R. T., “Addressing Confounding in Predictive Models with an Application to Neuroimaging.”, Int J Biostat, vol. 12, no. 1, pp. 31-44, 2016.
C. Davatzikos, “Computational neuroanatomy using brain deformations: From brain parcellation to multivariate pattern analysis and machine learning.”, Med Image Anal, vol. 33, pp. 149-154, 2016.
K. A. Linn, Gaonkar, B., Satterthwaite, T. D., Doshi, J., Davatzikos, C., and Shinohara, R. T., “Control-group feature normalization for multivariate pattern analysis of structural MRI data using the support vector machine.”, Neuroimage, vol. 132, pp. 157-166, 2016.
Q. K. Telesford, Lynall, M. - E., Vettel, J., Miller, M. B., Grafton, S. T., and Bassett, D. S., “Detection of functional brain network reconfiguration during task-driven cognitive states.”, Neuroimage, vol. 142, pp. 198-210, 2016.
F. A. Soto, Bassett, D. S., and F Ashby, G., “Dissociable changes in functional network topology underlie early category learning and development of automaticity.”, Neuroimage, vol. 141, pp. 220-241, 2016.
U. Braun, Schäfer, A., Bassett, D. S., Rausch, F., Schweiger, J. I., Bilek, E., Erk, S., Romanczuk-Seiferth, N., Grimm, O., Geiger, L. S., Haddad, L., Otto, K., Mohnke, S., Heinz, A., Zink, M., Walter, H., Schwarz, E., Meyer-Lindenberg, A., and Tost, H., “Dynamic brain network reconfiguration as a potential schizophrenia genetic risk mechanism modulated by NMDA receptor function.”, Proc Natl Acad Sci U S A, vol. 113, no. 44, pp. 12568-12573, 2016.
B. Tunc, Solmaz, B., Parker, D., Satterthwaite, T. D., Elliott, M. A., Calkins, M. E., Ruparel, K., Gur, R. E., Gur, R. C., and Verma, R., “Establishing a link between sex-related differences in the structural connectome and behaviour.”, Philos Trans R Soc Lond B Biol Sci, vol. 371, no. 1688, p. 20150111, 2016.
M. G. Mattar, Betzel, R. F., and Bassett, D. S., “The flexible brain.”, Brain, vol. 139, no. Pt 8, pp. 2110-2, 2016.
L. R. Chai, Mattar, M. G., Blank, I. Asher, Fedorenko, E., and Bassett, D. S., “Functional Network Dynamics of the Language System.”, Cereb Cortex, vol. 26, no. 11, pp. 4148-4159, 2016.
E. N. Davison, Turner, B. O., Schlesinger, K. J., Miller, M. B., Grafton, S. T., Bassett, D. S., and Carlson, J. M., “Individual Differences in Dynamic Functional Brain Connectivity across the Human Lifespan.”, PLoS Comput Biol, vol. 12, no. 11, p. e1005178, 2016.
B. Tunc, Ingalhalikar, M., Parker, D., Lecoeur, J., Singh, N., Wolf, R. L., Macyszyn, L., Brem, S., and Verma, R., “Individualized Map of White Matter Pathways: Connectivity-Based Paradigm for Neurosurgical Planning.”, Neurosurgery, vol. 79, no. 4, pp. 568-77, 2016.
I. - M. Eigsti, Stevens, M. C., Schultz, R. T., Barton, M., Kelley, E., Naigles, L., Orinstein, A., Troyb, E., and Fein, D. A., “Language comprehension and brain function in individuals with an optimal outcome from autism.”, Neuroimage Clin, vol. 10, pp. 182-91, 2016.
E. A. Karuza, Thompson-Schill, S. L., and Bassett, D. S., “Local Patterns to Global Architectures: Influences of Network Topology on Human Learning.”, Trends Cogn Sci, vol. 20, no. 8, pp. 629-640, 2016.
J. Doshi, Erus, G., Ou, Y., Resnick, S. M., Gur, R. C., Gur, R. E., Satterthwaite, T. D., Furth, S., and Davatzikos, C., “MUSE: MUlti-atlas region Segmentation utilizing Ensembles of registration algorithms and parameters, and locally optimal atlas selection.”, Neuroimage, vol. 127, pp. 186-195, 2016.
R. F. Betzel, Gu, S., Medaglia, J. D., Pasqualetti, F., and Bassett, D. S., “Optimally controlling the human connectome: the role of network topology.”, Sci Rep, vol. 6, p. 30770, 2016.
T. D. Satterthwaite, Connolly, J. J., Ruparel, K., Calkins, M. E., Jackson, C., Elliott, M. A., Roalf, D. R., Hopson, R., Prabhakaran, K., Behr, M., Qiu, H., Mentch, F. D., Chiavacci, R., Sleiman, P. M. A., Gur, R. C., Hakonarson, H., and Gur, R. E., “The Philadelphia Neurodevelopmental Cohort: A publicly available resource for the study of normal and abnormal brain development in youth.”, Neuroimage, vol. 124, no. Pt B, pp. 1115-1119, 2016.
A. N. Khambhati and Bassett, D. S., “A Powerful DREADD: Revealing Structural Drivers of Functional Dynamics.”, Neuron, vol. 91, no. 2, pp. 213-5, 2016.
Y. Shin Chang, Owen, J. P., Pojman, N. J., Thieu, T., Bukshpun, P., Wakahiro, M. L. J., Marco, E. J., Berman, J. I., Spiro, J. E., Chung, W. K., Buckner, R. L., Roberts, T. P. L., Nagarajan, S. S., Sherr, E. H., and Mukherjee, P., “Reciprocal white matter alterations due to 16p11.2 chromosomal deletions versus duplications.”, Hum Brain Mapp, vol. 37, no. 8, pp. 2833-48, 2016.
S. Feldt Muldoon, Bridgeford, E. W., and Bassett, D. S., “Small-World Propensity and Weighted Brain Networks.”, Sci Rep, vol. 6, p. 22057, 2016.
S. Feldt Muldoon, Pasqualetti, F., Gu, S., Cieslak, M., Grafton, S. T., Vettel, J. M., and Bassett, D. S., “Stimulation-Based Control of Dynamic Brain Networks.”, PLoS Comput Biol, vol. 12, no. 9, p. e1005076, 2016.
T. D. Satterthwaite, Wolf, D. H., Calkins, M. E., Vandekar, S. N., Erus, G., Ruparel, K., Roalf, D. R., Linn, K. A., Elliott, M. A., Moore, T. M., Hakonarson, H., Shinohara, R. T., Davatzikos, C., Gur, R. C., and Gur, R. E., “Structural Brain Abnormalities in Youth With Psychosis Spectrum Symptoms.”, JAMA Psychiatry, vol. 73, no. 5, pp. 515-24, 2016.
K. H. Wood, Johnson, B. S., Welsh, S. A., Lee, J. Y., Cui, Y., Krizman, E., Brodkin, E. S., Blendy, J. A., Robinson, M. B., Bartolomei, M. S., and Zhou, Z., “Tagging methyl-CpG-binding domain proteins reveals different spatiotemporal expression and supports distinct functions.”, Epigenomics, vol. 8, no. 4, pp. 455-73, 2016.
E. Portnoy, Polyak, B., Inbar, D., Kenan, G., Rai, A., Wehrli, S. L., Roberts, T. P. L., Bishara, A., Mann, A., Shmuel, M., Rozovsky, K., Itzhak, G., Ben-Hur, T., Magdassi, S., Ekstein, D., and Eyal, S., “Tracking inflammation in the epileptic rat brain by bi-functional fluorescent and magnetic nanoparticles.”, Nanomedicine, vol. 12, no. 5, pp. 1335-45, 2016.
C. Giusti, Ghrist, R., and Bassett, D. S., “Two's company, three (or more) is a simplex : Algebraic-topological tools for understanding higher-order structure in neural data.”, J Comput Neurosci, vol. 41, no. 1, pp. 1-14, 2016.
A. N. Khambhati, Davis, K. A., Lucas, T. H., Litt, B., and Bassett, D. S., “Virtual Cortical Resection Reveals Push-Pull Network Control Preceding Seizure Evolution.”, Neuron, vol. 91, no. 5, pp. 1170-1182, 2016.
2015
J. I. Berman, Chudnovskaya, D., Blaskey, L., Kuschner, E., Mukherjee, P., Buckner, R., Nagarajan, S., Chung, W. K., Spiro, J. E., Sherr, E. H., and Roberts, T. P. L., “Abnormal auditory and language pathways in children with 16p11.2 deletion.”, Neuroimage Clin, vol. 9, pp. 50-7, 2015.
J. R. Pruett, Kandala, S., Hoertel, S., Snyder, A. Z., Elison, J. T., Nishino, T., Feczko, E., Dosenbach, N. U. F., Nardos, B., Power, J. D., Adeyemo, B., Botteron, K. N., Mckinstry, R. C., Evans, A. C., Hazlett, H. C., Dager, S. R., Paterson, S., Schultz, R. T., D Collins, L., Fonov, V. S., Styner, M., Gerig, G., Das, S., Kostopoulos, P., Constantino, J. N., Estes, A. M., Petersen, S. E., Schlaggar, B. L., and Piven, J., “Accurate age classification of 6 and 12 month-old infants based on resting-state functional connectivity magnetic resonance imaging data.”, Dev Cogn Neurosci, vol. 12, pp. 123-33, 2015.
E. N. Davison, Schlesinger, K. J., Bassett, D. S., Lynall, M. - E., Miller, M. B., Grafton, S. T., and Carlson, J. M., “Brain network adaptability across task states.”, PLoS Comput Biol, vol. 11, no. 1, p. e1004029, 2015.
T. D. Satterthwaite, Kable, J. W., Vandekar, L., Katchmar, N., Bassett, D. S., Baldassano, C. F., Ruparel, K., Elliott, M. A., Sheline, Y. I., Gur, R. C., Gur, R. E., Davatzikos, C., Leibenluft, E., Thase, M. E., and Wolf, D. H., “Common and Dissociable Dysfunction of the Reward System in Bipolar and Unipolar Depression.”, Neuropsychopharmacology, vol. 40, no. 9, pp. 2258-68, 2015.
M. Ingalhalikar, Parker, D., Ghanbari, Y., Smith, A., Hua, K., Mori, S., Abel, T., Davatzikos, C., and Verma, R., “Connectome and Maturation Profiles of the Developing Mouse Brain Using Diffusion Tensor Imaging.”, Cereb Cortex, vol. 25, no. 9, pp. 2696-706, 2015.
S. Gu, Pasqualetti, F., Cieslak, M., Telesford, Q. K., Yu, A. B., Kahn, A. E., Medaglia, J. D., Vettel, J. M., Miller, M. B., Grafton, S. T., and Bassett, D. S., “Controllability of structural brain networks.”, Nat Commun, vol. 6, p. 8414, 2015.
B. E. Yerys, Gordon, E. M., Abrams, D. N., Satterthwaite, T. D., Weinblatt, R., Jankowski, K. F., Strang, J., Kenworthy, L., Gaillard, W. D., and Vaidya, C. J., “Default mode network segregation and social deficits in autism spectrum disorder: Evidence from non-medicated children.”, Neuroimage Clin, vol. 9, pp. 223-32, 2015.
E. A. Hartung, Laney, N., Kim, J. Young, Ruebner, R. L., Detre, J. A., Liu, H. - S., Davatzikos, C., Erus, G., Doshi, J. J., Schultz, R. T., Herrington, J. D., Jawad, A. F., Moodalbail, D. G., Gur, R. C., Port, A. M., Radcliffe, J., Hooper, S. R., and Furth, S. L., “Design and methods of the NiCK study: neurocognitive assessment and magnetic resonance imaging analysis of children and young adults with chronic kidney disease.”, BMC Nephrol, vol. 16, p. 66, 2015.
U. Braun, Schäfer, A., Walter, H., Erk, S., Romanczuk-Seiferth, N., Haddad, L., Schweiger, J. I., Grimm, O., Heinz, A., Tost, H., Meyer-Lindenberg, A., and Bassett, D. S., “Dynamic reconfiguration of frontal brain networks during executive cognition in humans.”, Proc Natl Acad Sci U S A, vol. 112, no. 37, pp. 11678-83, 2015.
S. Gu, Satterthwaite, T. D., Medaglia, J. D., Yang, M., Gur, R. E., Gur, R. C., and Bassett, D. S., “Emergence of system roles in normative neurodevelopment.”, Proc Natl Acad Sci U S A, vol. 112, no. 44, pp. 13681-6, 2015.
E. Caruyer and Verma, R., “On facilitating the use of HARDI in population studies by creating rotation-invariant markers.”, Med Image Anal, vol. 20, no. 1, pp. 87-96, 2015.
M. G. Mattar, Cole, M. W., Thompson-Schill, S. L., and Bassett, D. S., “A Functional Cartography of Cognitive Systems.”, PLoS Comput Biol, vol. 11, no. 12, p. e1004533, 2015.
D. R. Roalf, Vandekar, S. N., Almasy, L., Ruparel, K., Satterthwaite, T. D., Elliott, M. A., Podell, J., Gallagher, S., Jackson, C. T., Prasad, K., Wood, J., Pogue-Geile, M. F., Nimgaonkar, V. L., Gur, R. C., and Gur, R. E., “Heritability of subcortical and limbic brain volume and shape in multiplex-multigenerational families with schizophrenia.”, Biol Psychiatry, vol. 77, no. 2, pp. 137-46, 2015.
T. D. Satterthwaite and Baker, J. T., “How can studies of resting-state functional connectivity help us understand psychosis as a disorder of brain development?”, Curr Opin Neurobiol, vol. 30, pp. 85-91, 2015.
G. Erus, Battapady, H., Satterthwaite, T. D., Hakonarson, H., Gur, R. E., Davatzikos, C., and Gur, R. C., “Imaging patterns of brain development and their relationship to cognition.”, Cereb Cortex, vol. 25, no. 6, pp. 1676-84, 2015.
T. D. Satterthwaite, Wolf, D. H., Roalf, D. R., Ruparel, K., Erus, G., Vandekar, S., Gennatas, E. D., Elliott, M. A., Smith, A., Hakonarson, H., Verma, R., Davatzikos, C., Gur, R. E., and Gur, R. C., “Linked Sex Differences in Cognition and Functional Connectivity in Youth.”, Cereb Cortex, vol. 25, no. 9, pp. 2383-94, 2015.
B. E. Yerys, Antezana, L., Weinblatt, R., Jankowski, K. F., Strang, J., Vaidya, C. J., Schultz, R. T., Gaillard, W. D., and Kenworthy, L., “Neural Correlates of Set-Shifting in Children With Autism.”, Autism Res, vol. 8, no. 4, pp. 386-97, 2015.
B. Tunc, Shankar, V., Parker, D., Schultz, R. T., and Verma, R., “Towards a Quantified Network Portrait of a Population.”, Inf Process Med Imaging, vol. 24, pp. 650-61, 2015.
T. D. Satterthwaite and Davatzikos, C., “Towards an Individualized Delineation of Functional Neuroanatomy.”, Neuron, vol. 87, no. 3, pp. 471-3, 2015.
B. Tunc and Verma, R., “Unifying Inference of Meso-Scale Structures in Networks.”, PLoS One, vol. 10, no. 11, p. e0143133, 2015.
Y. Shin Chang, Owen, J. P., Pojman, N. J., Thieu, T., Bukshpun, P., Wakahiro, M. L. J., Berman, J. I., Roberts, T. P. L., Nagarajan, S. S., Sherr, E. H., and Mukherjee, P., “White Matter Changes of Neurite Density and Fiber Orientation Dispersion during Human Brain Maturation.”, PLoS One, vol. 10, no. 6, p. e0123656, 2015.
2014
J. P. Owen, Chang, Y. Shin, Pojman, N. J., Bukshpun, P., Wakahiro, M. L. J., Marco, E. J., Berman, J. I., Spiro, J. E., Chung, W. K., Buckner, R. L., Roberts, T. P. L., Nagarajan, S. S., Sherr, E. H., and Mukherjee, P., “Aberrant white matter microstructure in children with 16p11.2 deletions.”, J Neurosci, vol. 34, no. 18, pp. 6214-23, 2014.
L. M. Oberman, Hubbard, E. M., and McCleery, J. P., “Associative learning alone is insufficient for the evolution and maintenance of the human mirror neuron system.”, Behav Brain Sci, vol. 37, no. 2, pp. 212-3, 2014.
M. Ingalhalikar, Parker, W. A., Bloy, L., Roberts, T. P. L., and Verma, R., “Creating multimodal predictors using missing data: classifying and subtyping autism spectrum disorder.”, J Neurosci Methods, vol. 235, pp. 1-9, 2014.
J. Grèzes, Valabrègue, R., Gholipour, B., and Chevallier, C., “A direct amygdala-motor pathway for emotional displays to influence action: A diffusion tensor imaging study.”, Hum Brain Mapp, vol. 35, no. 12, pp. 5974-83, 2014.
Y. Ghanbari, Bloy, L., Shankar, V., J Edgar, C., Roberts, T. P. L., Schultz, R. T., and Verma, R., “Functionally driven brain networks using multi-layer graph clustering.”, Med Image Comput Comput Assist Interv, vol. 17, no. Pt 3, pp. 113-20, 2014.
M. Kumar, Duda, J. T., Hwang, W. - T., Kenworthy, C., Ittyerah, R., Pickup, S., Brodkin, E. S., Gee, J. C., Abel, T., and Poptani, H., “High resolution magnetic resonance imaging for characterization of the neuroligin-3 knock-in mouse model associated with autism spectrum disorder.”, PLoS One, vol. 9, no. 10, p. e109872, 2014.
Y. Ghanbari, Smith, A. R., Schultz, R. T., and Verma, R., “Identifying group discriminative and age regressive sub-networks from DTI-based connectivity via a unified framework of non-negative matrix factorization and graph embedding.”, Med Image Anal, vol. 18, no. 8, pp. 1337-48, 2014.
J. E. Schmitt, Yi, J. J., Roalf, D. R., Loevner, L. A., Ruparel, K., Whinna, D., Souders, M. C., McDonald-McGinn, D. M., Yodh, E., Vandekar, S., Zackai, E. H., Gur, R. C., Emanuel, B. S., and Gur, R. E., “Incidental radiologic findings in the 22q11.2 deletion syndrome.”, AJNR Am J Neuroradiol, vol. 35, no. 11, pp. 2186-91, 2014.
V. Troiani, Stigliani, A., Smith, M. E., and Epstein, R. A., “Multiple object properties drive scene-selective regions.”, Cereb Cortex, vol. 24, no. 4, pp. 883-97, 2014.
A. Gossen, Groppe, S. E., Winkler, L., Kohls, G., Herrington, J., Schultz, R. T., Gründer, G., and Spreckelmeyer, K. N., “Neural evidence for an association between social proficiency and sensitivity to social reward.”, Soc Cogn Affect Neurosci, vol. 9, no. 5, pp. 661-70, 2014.
T. D. Satterthwaite, Elliott, M. A., Ruparel, K., Loughead, J., Prabhakaran, K., Calkins, M. E., Hopson, R., Jackson, C., Keefe, J., Riley, M., Mentch, F. D., Sleiman, P., Verma, R., Davatzikos, C., Hakonarson, H., Gur, R. C., and Gur, R. E., “Neuroimaging of the Philadelphia neurodevelopmental cohort.”, Neuroimage, vol. 86, pp. 544-53, 2014.
A. Y. Qureshi, Mueller, S., Snyder, A. Z., Mukherjee, P., Berman, J. I., Roberts, T. P. L., Nagarajan, S. S., Spiro, J. E., Chung, W. K., Sherr, E. H., and Buckner, R. L., “Opposing brain differences in 16p11.2 deletion and duplication carriers.”, J Neurosci, vol. 34, no. 34, pp. 11199-211, 2014.
M. Ingalhalikar, Smith, A., Parker, D., Satterthwaite, T. D., Elliott, M. A., Ruparel, K., Hakonarson, H., Gur, R. E., Gur, R. C., and Verma, R., “Sex differences in the structural connectome of the human brain.”, Proc Natl Acad Sci U S A, vol. 111, no. 2, pp. 823-8, 2014.
S. M. Gillespie, McCleery, J. P., and Oberman, L. M., “Spontaneous versus deliberate vicarious representations: different routes to empathy in psychopathy and autism.”, Brain, vol. 137, no. Pt 4, p. e272, 2014.
H. Schoch and Abel, T., “Transcriptional co-repressors and memory storage.”, Neuropharmacology, vol. 80, pp. 53-60, 2014.
V. Troiani, Price, E. T., and Schultz, R. T., “Unseen fearful faces promote amygdala guidance of attention.”, Soc Cogn Affect Neurosci, vol. 9, no. 2, pp. 133-40, 2014.
2013
K. Supekar, Uddin, L. Q., Khouzam, A., Phillips, J., Gaillard, W. D., Kenworthy, L. E., Yerys, B. E., Vaidya, C. J., and Menon, V., “Brain hyperconnectivity in children with autism and its links to social deficits.”, Cell Rep, vol. 5, no. 3, pp. 738-47, 2013.
M. Farzinfar, Oguz, I., Smith, R. G., Verde, A. R., Dietrich, C., Gupta, A., Escolar, M. L., Piven, J., Pujol, S., Vachet, C., Gouttard, S., Gerig, G., Dager, S., Mckinstry, R. C., Paterson, S., Evans, A. C., and Styner, M. A., “Diffusion imaging quality control via entropy of principal direction distribution.”, Neuroimage, vol. 82, pp. 1-12, 2013.
T. D. Satterthwaite, Wolf, D. H., Erus, G., Ruparel, K., Elliott, M. A., Gennatas, E. D., Hopson, R., Jackson, C., Prabhakaran, K., Bilker, W. B., Calkins, M. E., Loughead, J., Smith, A., Roalf, D. R., Hakonarson, H., Verma, R., Davatzikos, C., Gur, R. C., and Gur, R. E., “Functional maturation of the executive system during adolescence.”, J Neurosci, vol. 33, no. 41, pp. 16249-61, 2013.
T. D. Satterthwaite, Wolf, D. H., Ruparel, K., Erus, G., Elliott, M. A., Eickhoff, S. B., Gennatas, E. D., Jackson, C., Prabhakaran, K., Smith, A., Hakonarson, H., Verma, R., Davatzikos, C., Gur, R. E., and Gur, R. C., “Heterogeneous impact of motion on fundamental patterns of developmental changes in functional connectivity during youth.”, Neuroimage, vol. 83, pp. 45-57, 2013.
T. Abel and Klann, E., “Molecular and cellular cognition: Neurobiology of Learning and Memory Special Issue 2013.”, Neurobiol Learn Mem, vol. 105, pp. 1-2, 2013.
G. Kohls, Schulte-Rüther, M., Nehrkorn, B., Müller, K., Fink, G. R., Kamp-Becker, I., Herpertz-Dahlmann, B., Schultz, R. T., and Konrad, K., “Reward system dysfunction in autism spectrum disorders.”, Soc Cogn Affect Neurosci, vol. 8, no. 5, pp. 565-72, 2013.
C. A. Mazefsky, Herrington, J., Siegel, M., Scarpa, A., Maddox, B. B., Scahill, L., and White, S. W., “The role of emotion regulation in autism spectrum disorder.”, J Am Acad Child Adolesc Psychiatry, vol. 52, no. 7, pp. 679-88, 2013.
T. Abel, Havekes, R., Saletin, J. M., and Walker, M. P., “Sleep, plasticity and memory from molecules to whole-brain networks.”, Curr Biol, vol. 23, no. 17, pp. R774-88, 2013.
J. T. Elison, Paterson, S. J., Wolff, J. J., J Reznick, S., Sasson, N. J., Gu, H., Botteron, K. N., Dager, S. R., Estes, A. M., Evans, A. C., Gerig, G., Hazlett, H. C., Schultz, R. T., Styner, M., Zwaigenbaum, L., and Piven, J., “White matter microstructure and atypical visual orienting in 7-month-olds at risk for autism.”, Am J Psychiatry, vol. 170, no. 8, pp. 899-908, 2013.
2012
H. Cody Hazlett, Gu, H., Mckinstry, R. C., Shaw, D. W. W., Botteron, K. N., Dager, S. R., Styner, M., Vachet, C., Gerig, G., Paterson, S. J., Schultz, R. T., Estes, A. M., Evans, A. C., and Piven, J., “Brain volume findings in 6-month-old infants at high familial risk for autism.”, Am J Psychiatry, vol. 169, no. 6, pp. 601-8, 2012.
M. Jain, Vélez, J. I., Acosta, M. T., Palacio, L. G., Balog, J., Roessler, E., Pineda, D., Londoño, A. C., Palacio, J. D., Arbelaez, A., Lopera, F., Elia, J., Hakonarson, H., Seitz, C., Freitag, C. M., Palmason, H., Meyer, J., Romanos, M., Walitza, S., Hemminger, U., Warnke, A., Romanos, J., Renner, T., Jacob, C., Lesch, K. - P., Swanson, J., Castellanos, F. X., Bailey-Wilson, J. E., Arcos-Burgos, M., and Muenke, M., “A cooperative interaction between LPHN3 and 11q doubles the risk for ADHD.”, Mol Psychiatry, vol. 17, no. 7, pp. 741-7, 2012.
J. J. Wolff, Gu, H., Gerig, G., Elison, J. T., Styner, M., Gouttard, S., Botteron, K. N., Dager, S. R., Dawson, G., Estes, A. M., Evans, A. C., Hazlett, H. C., Kostopoulos, P., Mckinstry, R. C., Paterson, S. J., Schultz, R. T., Zwaigenbaum, L., and Piven, J., “Differences in white matter fiber tract development present from 6 to 24 months in infants with autism.”, Am J Psychiatry, vol. 169, no. 6, pp. 589-600, 2012.
Y. Ghanbari, Bloy, L., Batmanghelich, K., Roberts, T. P. L., and Verma, R., “Dominant component analysis of electrophysiological connectivity networks.”, Med Image Comput Comput Assist Interv, vol. 15, no. Pt 3, pp. 231-8, 2012.
M. Ingalhalikar, Smith, A. R., Bloy, L., Gur, R., Roberts, T. P. L., and Verma, R., “Identifying sub-populations via unsupervised cluster analysis on multi-edge similarity graphs.”, Med Image Comput Comput Assist Interv, vol. 15, no. Pt 2, pp. 254-61, 2012.
T. D. Satterthwaite, Wolf, D. H., Loughead, J., Ruparel, K., Elliott, M. A., Hakonarson, H., Gur, R. C., and Gur, R. E., “Impact of in-scanner head motion on multiple measures of functional connectivity: relevance for studies of neurodevelopment in youth.”, Neuroimage, vol. 60, no. 1, pp. 623-32, 2012.
L. Bloy, Ingalhalikar, M., Batmanghelich, N. K., Schultz, R. T., Roberts, T. P. L., and Verma, R., “An integrated framework for high angular resolution diffusion imaging-based investigation of structural connectivity.”, Brain Connect, vol. 2, no. 2, pp. 69-79, 2012.
M. Kumar, Kim, S., Pickup, S., Chen, R., Fairless, A. H., Ittyerah, R., Abel, T., Brodkin, E. S., and Poptani, H., “Longitudinal in-vivo diffusion tensor imaging for assessing brain developmental changes in BALB/cJ mice, a model of reduced sociability relevant to autism.”, Brain Res, vol. 1455, pp. 56-67, 2012.
E. Greimel, Nehrkorn, B., Fink, G. R., Kukolja, J., Kohls, G., Müller, K., Piefke, M., Kamp-Becker, I., Remschmidt, H., Herpertz-Dahlmann, B., Konrad, K., and Schulte-Rüther, M., “Neural mechanisms of encoding social and non-social context information in autism spectrum disorder.”, Neuropsychologia, vol. 50, no. 14, pp. 3440-9, 2012.
I. - M. Eigsti, Schuh, J., Mencl, E., Schultz, R. T., and Paul, R., “The neural underpinnings of prosody in autism.”, Child Neuropsychol, vol. 18, no. 6, pp. 600-17, 2012.
J. Herrington, Nymberg, C., Faja, S., Price, E., and Schultz, R., “The responsiveness of biological motion processing areas to selective attention towards goals.”, Neuroimage, vol. 63, no. 1, pp. 581-90, 2012.
I. Ionita-Laza, Makarov, V., and Buxbaum, J. D., “Scan-statistic approach identifies clusters of rare disease variants in LRP2, a gene linked and associated with autism spectrum disorders, in three datasets.”, Am J Hum Genet, vol. 90, no. 6, pp. 1002-13, 2012.
A. H. Fairless, Dow, H. C., Kreibich, A. Sadalge, Torre, M., Kuruvilla, M., Gordon, E., Morton, E. A., Tan, J., Berrettini, W. H., Li, H., Abel, T., and Brodkin, E. S., “Sociability and brain development in BALB/cJ and C57BL/6J mice.”, Behav Brain Res, vol. 228, no. 2, pp. 299-310, 2012.
C. Chevallier, Kohls, G., Troiani, V., Brodkin, E. S., and Schultz, R. T., “The social motivation theory of autism.”, Trends Cogn Sci, vol. 16, no. 4, pp. 231-9, 2012.
M. Ingalhalikar, Parker, W. A., Bloy, L., Roberts, T. P. L., and Verma, R., “Using multiparametric data with missing features for learning patterns of pathology.”, Med Image Comput Comput Assist Interv, vol. 15, no. Pt 3, pp. 468-75, 2012.
J. I. Berman, McDaniel, J., Liu, S., Cornew, L., Gaetz, W., Roberts, T. P. L., and J Edgar, C., “Variable bandwidth filtering for improved sensitivity of cross-frequency coupling metrics.”, Brain Connect, vol. 2, no. 3, pp. 155-63, 2012.
L. Bloy, Ingalhalikar, M., Eavani, H., Schultz, R. T., Roberts, T. P. L., and Verma, R., “White matter atlas generation using HARDI based automated parcellation.”, Neuroimage, vol. 59, no. 4, pp. 4055-63, 2012.
2011
G. Kohls, Peltzer, J., Schulte-Rüther, M., Kamp-Becker, I., Remschmidt, H., Herpertz-Dahlmann, B., and Konrad, K., “Atypical brain responses to reward cues in autism as revealed by event-related potentials.”, J Autism Dev Disord, vol. 41, no. 11, pp. 1523-33, 2011.
M. Ingalhalikar, Parker, D., Bloy, L., Roberts, T. P. L., and Verma, R., “Diffusion based abnormality markers of pathology: toward learned diagnostic prediction of ASD.”, Neuroimage, vol. 57, no. 3, pp. 918-27, 2011.
L. Bloy, Ingalhalikar, M., Eavani, H., Roberts, T. P. L., Schultz, R. T., and Verma, R., “HARDI based pattern classifiers for the identification of white matter pathologies.”, Med Image Comput Comput Assist Interv, vol. 14, no. Pt 2, pp. 234-41, 2011.
B. E. Yerys and Pennington, B. F., “How do we establish a biological marker for a behaviorally defined disorder? Autism as a test case.”, Autism Res, vol. 4, no. 4, pp. 239-41, 2011.
M. N. Coutanche, Thompson-Schill, S. L., and Schultz, R. T., “Multi-voxel pattern analysis of fMRI data predicts clinical symptom severity.”, Neuroimage, vol. 57, no. 1, pp. 113-123, 2011.
2010
M. Assaf, Jagannathan, K., Calhoun, V. D., Miller, L., Stevens, M. C., Sahl, R., O'Boyle, J. G., Schultz, R. T., and Pearlson, G. D., “Abnormal functional connectivity of default mode sub-networks in autism spectrum disorder patients.”, Neuroimage, vol. 53, no. 1, pp. 247-56, 2010.
L. Rademacher, Krach, S., Kohls, G., Irmak, A., Gründer, G., and Spreckelmeyer, K. N., “Dissociation of neural networks for anticipation and consumption of monetary and social rewards.”, Neuroimage, vol. 49, no. 4, pp. 3276-85, 2010.
J. D. Herrington, Heller, W., Mohanty, A., Engels, A. S., Banich, M. T., Webb, A. G., and Miller, G. A., “Localization of asymmetric brain function in emotion and depression.”, Psychophysiology, vol. 47, no. 3, pp. 442-54, 2010.
2009
G. L. Schmidt, Rey, M. M., Cardy, J. E. Oram, and Roberts, T. P. L., “Absence of M100 source asymmetry in autism associated with language functioning.”, Neuroreport, vol. 20, no. 11, pp. 1037-41, 2009.
K. Wang, Zhang, H., Ma, D., Bućan, M., Glessner, J. T., Abrahams, B. S., Salyakina, D., Imielinski, M., Bradfield, J. P., Sleiman, P. M. A., Kim, C. E., Hou, C., Frackelton, E., Chiavacci, R., Takahashi, N., Sakurai, T., Rappaport, E., Lajonchere, C. M., Munson, J., Estes, A., Korvatska, O., Piven, J., Sonnenblick, L. I., Retuerto, A. I. Alvarez, Herman, E. I., Dong, H., Hutman, T., Sigman, M., Ozonoff, S., Klin, A., Owley, T., Sweeney, J. A., Brune, C. W., Cantor, R. M., Bernier, R., Gilbert, J. R., Cuccaro, M. L., McMahon, W. M., Miller, J., State, M. W., Wassink, T. H., Coon, H., Levy, S. E., Schultz, R. T., Nurnberger, J. I., Haines, J. L., Sutcliffe, J. S., Cook, E. H., Minshew, N. J., Buxbaum, J. D., Dawson, G., Grant, S. F. A., Geschwind, D. H., Pericak-Vance, M. A., Schellenberg, G. D., and Hakonarson, H., “Common genetic variants on 5p14.1 associate with autism spectrum disorders.”, Nature, vol. 459, no. 7246, pp. 528-33, 2009.
T. P. L. Roberts, Khan, S. Y., Blaskey, L., Dell, J., Levy, S. E., Zarnow, D. M., and J Edgar, C., “Developmental correlation of diffusion anisotropy with auditory-evoked response.”, Neuroreport, vol. 20, no. 18, pp. 1586-91, 2009.
B. E. Yerys, Jankowski, K. F., Shook, D., Rosenberger, L. R., Barnes, K. Anne, Berl, M. M., Ritzl, E. K., VanMeter, J., Vaidya, C. J., and Gaillard, W. D., “The fMRI success rate of children and adolescents: typical development, epilepsy, attention deficit/hyperactivity disorder, and autism spectrum disorders.”, Hum Brain Mapp, vol. 30, no. 10, pp. 3426-35, 2009.
2008
D. R. Bathula, Tagare, H. D., Staib, L. H., Papademetris, X., Schultz, R. T., and Duncan, J. S., “Bayesian analysis of fMRI data with ICA based spatial prior.”, Med Image Comput Comput Assist Interv, vol. 11, no. Pt 2, pp. 246-54, 2008.
T. Colibazzi, Zhu, H., Bansal, R., Schultz, R. T., Wang, Z., and Peterson, B. S., “Latent volumetric structure of the human brain: Exploratory factor analysis and structural equation modeling of gray matter volumes in healthy children and adults.”, Hum Brain Mapp, vol. 29, no. 11, pp. 1302-12, 2008.
R. T. Schultz, “Neuroimaging research in autism: the next decade.”, Autism Res, vol. 1, no. 6, pp. 317-9, 2008.
M. K. Belmonte, Mazziotta, J. C., Minshew, N. J., Evans, A. C., Courchesne, E., Dager, S. R., Bookheimer, S. Y., Aylward, E. H., Amaral, D. G., Cantor, R. M., Chugani, D. C., Dale, A. M., Davatzikos, C., Gerig, G., Herbert, M. R., Lainhart, J. E., Murphy, D. G., Piven, J., Reiss, A. L., Schultz, R. T., Zeffiro, T. A., Levi-Pearl, S., Lajonchere, C., and Colamarino, S. A., “Offering to share: how to put heads together in autism neuroimaging.”, J Autism Dev Disord, vol. 38, no. 1, pp. 2-13, 2008.
2006
R. Marsh, Zhu, H., Schultz, R. T., Quackenbush, G., Royal, J., Skudlarski, P., and Peterson, B. S., “A developmental fMRI study of self-regulatory control.”, Hum Brain Mapp, vol. 27, no. 11, pp. 848-63, 2006.