McSweeney, M., Morales, S., Valadez, E. A., Buzzell, G. A., Yoder, L., Fifer, W. P., Pini, N., Shuffrey, L. C., Elliott, A. J., Isler, J. R., & Fox, N. A. (2023). Age-related trends in aperiodic EEG activity and alpha oscillations during early- to middle-childhood. NeuroImage, 269, 119925. https://doi.org/10.1016/j.neuroimage.2023.119925

Tsapanou, A., Mourtzi, N., Gu, Y., Habeck, C., Belsky, D., & Stern, Y. (2023). Polygenic indices for cognition in healthy aging; the role of brain measures. Neuroimage: Reports, 3(1), 100153. https://doi.org/10.1016/j.ynirp.2022.100153

Pouwels, P. J. W., Vriend, C., Liu, F., de Joode, N. T., Otaduy, M. C. G., Pastorello, B., Robertson, F. C., Venkatasubramanian, G., Ipser, J., Lee, S., Batistuzzo, M. C., Hoexter, M. Q., Lochner, C., Miguel, E. C., Narayanaswamy, J. C., Rao, R., Janardhan Reddy, Y. C., Shavitt, R. G., Sheshachala, K., … van den Heuvel, O. A. (2022). Global multi‐center and multi‐modal magnetic resonance imaging study of obsessive‐compulsive disorder: Harmonization and monitoring of protocols in healthy volunteers and phantoms. International Journal of Methods in Psychiatric Research, 32(1). Portico. https://doi.org/10.1002/mpr.1931

Petrella, J. R., Michael, A. M., Qian, M., Nwosu, A., Sneed, J., Goldberg, T. E., Devanand, D. P., & Doraiswamy, P. M. (2023). Impact of Computerized Cognitive Training on Default Mode Network Connectivity in Subjects at Risk for Alzheimer’s Disease: A 78-week Randomized Controlled Trial. Journal of Alzheimer’s Disease, 91(1), 483–494. https://doi.org/10.3233/jad-220946

Qi, W., Marx, J., Zingman, M., Li, Y., Petkova, E., Blessing, E., Ardekani, B., Sakalli Kani, A., Cather, C., Freudenreich, O., Holt, D., Zhao, J., Wang, J., & Goff, D. C. (2022). Hippocampal Subfield Volumes Predict Disengagement from Maintenance Treatment in First Episode Schizophrenia. Schizophrenia Bulletin, 49(1), 34–42. https://doi.org/10.1093/schbul/sbac043

He, H., Sun, X., Doose, J., Blankenship, A., Mclntosh, J., Saber, G., Faller, J., Lin, Y., Teves, J., Huffman, S., Pantazatos, S., Goldman, R., George, M., Brown, T., & Sajda, P. (2023). Whole-brain analysis of concurrent TMS-EEG-fMRI reveals brain-wide state-dependent TMS effects. Brain Stimulation, 16(1), 405. https://doi.org/10.1016/j.brs.2023.01.825

Zhu, X., Suarez-Jimenez, B., Lazarov, A., Such, S., Marohasy, C., Small, S. S., Wager, T. D., Lindquist, M. A., Lissek, S., & Neria, Y. (2022). Sequential fear generalization and network connectivity in trauma exposed humans with and without psychopathology. Communications Biology, 5(1). https://doi.org/10.1038/s42003-022-04228-5

Duong, M. T., Das, S. R., Lyu, X., Xie, L., Richardson, H., Xie, S. X., Yushkevich, P. A., Weiner, M., Aisen, P., Petersen, R., Jack, C. R., Jagust, W., Trojanowki, J. Q., Toga, A. W., Beckett, L., Green, R. C., Saykin, A. J., Morris, J. C., … Nasrallah, I. M. (2022). Dissociation of tau pathology and neuronal hypometabolism within the ATN framework of Alzheimer’s disease. Nature Communications, 13(1). https://doi.org/10.1038/s41467-022-28941-1

Sun, D., Rakesh, G., Haswell, C. C., Logue, M., Baird, C. L., O’Leary, E. N., Cotton, A. S., Xie, H., Tamburrino, M., Chen, T., Dennis, E. L., Jahanshad, N., Salminen, L. E., Thomopoulos, S. I., Rashid, F., Ching, C. R. K., Koch, S. B. J., Frijling, J. L., Nawijn, L., … Morey, R. A. (2022). A comparison of methods to harmonize cortical thickness measurements across scanners and sites. NeuroImage, 261, 119509. https://doi.org/10.1016/j.neuroimage.2022.119509

Barua, P. D., Dogan, S., Baygin, M., Tuncer, T., Palmer, E. E., Ciaccio, E. J., & Acharya, U. R. (2022). TMP19: A Novel Ternary Motif Pattern-Based ADHD Detection Model Using EEG Signals. Diagnostics, 12(10), 2544. https://doi.org/10.3390/diagnostics12102544

Greene, A. S., Shen, X., Noble, S., Horien, C., Hahn, C. A., Arora, J., Tokoglu, F., Spann, M. N., Carrión, C. I., Barron, D. S., Sanacora, G., Srihari, V. H., Woods, S. W., Scheinost, D., & Constable, R. T. (2022). Brain–phenotype models fail for individuals who defy sample stereotypes. Nature, 609(7925), 109–118. https://doi.org/10.1038/s41586-022-05118-w

Aschenbrenner, A. J., Hassenstab, J., Wang, G., Li, Y., Xiong, C., McDade, E., Clifford, D. B., Salloway, S., Farlow, M., Yaari, R., Cheng, E. Y. J., Holdridge, K. C., Mummery, C. J., Masters, C. L., Hsiung, G.-Y., Surti, G., Day, G. S., Weintraub, S., Honig, L. S., … Bateman, R. J. (2022). Avoid or Embrace? Practice Effects in Alzheimer’s Disease Prevention Trials. Frontiers in Aging Neuroscience, 14. https://doi.org/10.3389/fnagi.2022.883131

Inglese, M., Patel, N., Linton-Reid, K., Loreto, F., Win, Z., Perry, R. J., Carswell, C., Grech-Sollars, M., Crum, W. R., Lu, H., Malhotra, P. A., Silbert, L. C., Lind, B., Crissey, R., Kaye, J. A., Carter, R., Dolen, S., Quinn, J., … Aboagye, E. O. (2022). A predictive model using the mesoscopic architecture of the living brain to detect Alzheimer’s disease. Communications Medicine, 2(1). https://doi.org/10.1038/s43856-022-00133-4

Gruskin, D. C., & Patel, G. H. (2022). Brain connectivity at rest predicts individual differences in normative activity during movie watching. NeuroImage, 253, 119100. https://doi.org/10.1016/j.neuroimage.2022.119100

Trambaiolli, L. R., Peng, X., Lehman, J. F., Linn, G., Russ, B. E., Schroeder, C. E., Liu, H., & Haber, S. N. (2022). Anatomical and functional connectivity support the existence of a salience network node within the caudal ventrolateral prefrontal cortex. ELife, 11. CLOCKSS. https://doi.org/10.7554/elife.76334

Ettehadi, N., Kashyap, P., Zhang, X., Wang, Y., Semanek, D., Desai, K., Guo, J., Posner, J., & Laine, A. F. (2022). Automated Multiclass Artifact Detection in Diffusion MRI Volumes via 3D Residual Squeeze-and-Excitation Convolutional Neural Networks. Frontiers in Human Neuroscience, 16. https://doi.org/10.3389/fnhum.2022.877326

Williams, J. C., Tubiolo, P. N., Luceno, J. R., & Van Snellenberg, J. X. (2022). Advancing motion denoising of multiband resting-state functional connectivity fMRI data. NeuroImage, 249, 118907. https://doi.org/10.1016/j.neuroimage.2022.118907

Faller, J., Doose, J., Sun, X., Mclntosh, J. R., Saber, G. T., Lin, Y., Teves, J. B., Blankenship, A., Huffman, S., Goldman, R. I., George, M. S., Brown, T. R., & Sajda, P. (2022). Daily prefrontal closed-loop repetitive transcranial magnetic stimulation (rTMS) produces progressive EEG quasi-alpha phase entrainment in depressed adults. Brain Stimulation, 15(2), 458–471. https://doi.org/10.1016/j.brs.2022.02.008

Hou, Z., Li, T., He, X., Zhang, Y., Chen, H., Jiang, W., Yin, Y., & Yuan, Y. (2022). Distinct Features of Cerebral Blood Flow and Spontaneous Neural Activity as Integrated Predictors of Early Response to Antidepressants. Frontiers in Psychiatry, 12. https://doi.org/10.3389/fpsyt.2021.788398

Sharifian, N., Zaheed, A. B., Morris, E. P., Sol, K., Manly, J. J., Schupf, N., Mayeux, R., Brickman, A. M., & Zahodne, L. B. (2021). Social network characteristics moderate associations between cortical thickness and cognitive functioning in older adults. Alzheimer’s & Dementia, 17(S7). Portico. https://doi.org/10.1002/alz.052227

Buss, E. J., Wu, P. B., Yanagihara, T., Grinband, J., & Wang, T. J. C. (2021). Single Arm Prospective Trial on BOLD fMRI Radiation-Induced Changes in Newly Diagnosed Glioblastoma Patients. International Journal of Radiation Oncology*Biology*Physics, 111(3), S16–S17. https://doi.org/10.1016/j.ijrobp.2021.07.068

Zangen, A., Moshe, H., Martinez, D., Barnea‐Ygael, N., Vapnik, T., Bystritsky, A., Duffy, W., Toder, D., Casuto, L., Grosz, M. L., Nunes, E. V., Ward, H., Tendler, A., Feifel, D., Morales, O., Roth, Y., Iosifescu, D. V., Winston, J., Wirecki, T., … George, M. S. (2021). Repetitive transcranial magnetic stimulation for smoking cessation: a pivotal multicenter double‐blind randomized controlled trial. World Psychiatry, 20(3), 397–404. Portico. https://doi.org/10.1002/wps.20905