Neurostructural subgroup in 4291 individuals with schizophrenia identified using the subtype and stage inference algorithm

Autor: Yuchao Jiang, Cheng Luo, Jijun Wang, Lena Palaniyappan, Xiao Chang, Shitong Xiang, Jie Zhang, Mingjun Duan, Huan Huang, Christian Gaser, Kiyotaka Nemoto, Kenichiro Miura, Ryota Hashimoto, Lars T. Westlye, Genevieve Richard, Sara Fernandez-Cabello, Nadine Parker, Ole A. Andreassen, Tilo Kircher, Igor Nenadić, Frederike Stein, Florian Thomas-Odenthal, Lea Teutenberg, Paula Usemann, Udo Dannlowski, Tim Hahn, Dominik Grotegerd, Susanne Meinert, Rebekka Lencer, Yingying Tang, Tianhong Zhang, Chunbo Li, Weihua Yue, Yuyanan Zhang, Xin Yu, Enpeng Zhou, Ching-Po Lin, Shih-Jen Tsai, Amanda L. Rodrigue, David Glahn, Godfrey Pearlson, John Blangero, Andriana Karuk, Edith Pomarol-Clotet, Raymond Salvador, Paola Fuentes-Claramonte, María Ángeles Garcia-León, Gianfranco Spalletta, Fabrizio Piras, Daniela Vecchio, Nerisa Banaj, Jingliang Cheng, Zhening Liu, Jie Yang, Ali Saffet Gonul, Ozgul Uslu, Birce Begum Burhanoglu, Aslihan Uyar Demir, Kelly Rootes-Murdy, Vince D. Calhoun, Kang Sim, Melissa Green, Yann Quidé, Young Chul Chung, Woo-Sung Kim, Scott R. Sponheim, Caroline Demro, Ian S. Ramsay, Felice Iasevoli, Andrea de Bartolomeis, Annarita Barone, Mariateresa Ciccarelli, Arturo Brunetti, Sirio Cocozza, Giuseppe Pontillo, Mario Tranfa, Min Tae M. Park, Matthias Kirschner, Foivos Georgiadis, Stefan Kaiser, Tamsyn E. Van Rheenen, Susan L. Rossell, Matthew Hughes, William Woods, Sean P. Carruthers, Philip Sumner, Elysha Ringin, Filip Spaniel, Antonin Skoch, David Tomecek, Philipp Homan, Stephanie Homan, Wolfgang Omlor, Giacomo Cecere, Dana D. Nguyen, Adrian Preda, Sophia I. Thomopoulos, Neda Jahanshad, Long-Biao Cui, Dezhong Yao, Paul M. Thompson, Jessica A. Turner, Theo G. M. van Erp, Wei Cheng, ENIGMA Schizophrenia Consortium, Jianfeng Feng, ZIB Consortium

Publikováno v: Nature Communications, Vol 15, Iss 1, Pp 1-15 (2024)

Abstract Machine learning can be used to define subtypes of psychiatric conditions based on shared biological foundations of mental disorders. Here we analyzed cross-sectional brain images from 4,222 individuals with schizophrenia and 7038 healthy su

Externí odkaz: https://doaj.org/article/76bdd81832814fb8a0f1d01e09c35de4

Neuronal activation sequences in lateral prefrontal cortex encode visuospatial working memory during virtual navigation

Autor: Alexandra Busch, Megan Roussy, Rogelio Luna, Matthew L. Leavitt, Maryam H. Mofrad, Roberto A. Gulli, Benjamin Corrigan, Ján Mináč, Adam J. Sachs, Lena Palaniyappan, Lyle Muller, Julio C. Martinez-Trujillo

Publikováno v: Nature Communications, Vol 15, Iss 1, Pp 1-15 (2024)

Abstract Working memory (WM) is the ability to maintain and manipulate information ‘in mind’. The neural codes underlying WM have been a matter of debate. We simultaneously recorded the activity of hundreds of neurons in the lateral prefrontal co

Externí odkaz: https://doaj.org/article/79a8c6b93d5c4e299ddf9cc3204db31b

In-situ treated ZnO/Fe2O3 nanocomposites synthesized via microwave for enhanced Photo-Fenton photocatalysis and antimicrobial efficacy

Autor: Manikandan, Velu, Elango, Duraisamy, Subash, Velu, Jayanthi, Palaniyappan, Al-Ansari, Mysoon M., Dixit, Saurav, Singh, Subhav, Revathi, Seemaisamy, Sutikno, Sutikno, Soup Song, Kwang

Publikováno v: In Materials Science & Engineering B January 2025 311

Double cylinder implosion experiments at the National Ignition Facility

Autor: Sauppe, J.P., Sagert, I., Day, T.H., Flippo, K.A., Kline, J.L., Kot, L., Palaniyappan, S., Roycroft, R.A., Schmidt, D.W.

Publikováno v: In High Energy Density Physics December 2024 53

Multimodal workflows optimally predict response to repetitive transcranial magnetic stimulation in patients with schizophrenia: a multisite machine learning analysis

Autor: Mark Sen Dong, Jaroslav Rokicki, Dominic Dwyer, Sergi Papiol, Fabian Streit, Marcella Rietschel, Thomas Wobrock, Bertram Müller-Myhsok, Peter Falkai, Lars Tjelta Westlye, Ole A. Andreassen, Lena Palaniyappan, Thomas Schneider-Axmann, Alkomiet Hasan, Emanuel Schwarz, Nikolaos Koutsouleris

Publikováno v: Translational Psychiatry, Vol 14, Iss 1, Pp 1-11 (2024)

Abstract The response variability to repetitive transcranial magnetic stimulation (rTMS) challenges the effective use of this treatment option in patients with schizophrenia. This variability may be deciphered by leveraging predictive information in

Externí odkaz: https://doaj.org/article/84118a97317440f4aa4547b79ebf527f