The cognitive and neural basis of complex decision-making in the primate brain by Ramadan, Mahdi F.

“…In another flavor, very simple tasks are used, which have afforded detailed characterization of behavior and the underlying neurobiology, but are limited in eliciting high-level cognitive strategies. …”
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Conditional disruption of AMP kinase in dopaminergic neurons promotes Parkinson's disease-associated phenotypes in vivo by Hang, Liting, Wang, Ziyin, Foo, Aaron S. C., Goh, Geraldine, Choong, Huey Ching, Thundyil, John, Xu, Shengli, Lam, Kong-Peng, Lim, Kah-Leong

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The habenula clock influences response to a stressor by Basnakova, Adriana, Cheng, Ruey-Kuang, Chia, Joanne Shu Ming, D'Agostino, Giuseppe, Suryadi, Tan, Germaine Jia Hui, Langley, Sarah Raye, Jesuthasan, Suresh

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Reverse mounting in birds by Villar, DA

“…These include a lack of experimental studies on reverse mounting, as well as a complete lack of any studies on the neurobiology or endocrinology of reverse mounting. We also speculate about the potential evolutionary consequences of reverse mounting, in the context of how other previously overlooked non-reproductive sexual behaviours have been found to have significant evolutionary consequences.…”

Patient-derived antibodies reveal the subcellular distribution and heterogeneous interactome of LGI1 by Ramirez-Franco, J, Debreux, K, Extremet, J, Maulet, Y, Belghazi, M, Villard, C, Sangiardi, M, Youssouf, F, El Far, L, Lévêque, C, Debarnot, C, Marchot, P, Paneva, S, Debanne, D, Russier, M, Seagar, M, Irani, SR, El Far, O

“…To investigate whether the cellular and subcellular distribution of LGI1 may explain the localization of these features, and hence gain broader insights into LGI1's neurobiology, we analysed the detailed localization of LGI1 and the diversity of its protein interactome, in mouse brains using patient-derived recombinant monoclonal LGI1 antibodies. …”

HST.583 Functional Magnetic Resonance Imaging: Data Acquisition and Analysis, Fall 2002 by Gollub, Randy L., Bird, Stephanie J., Brown, E. N. (Emery N.), Fischl, Bruce, Kanwisher, Nancy, Kennedy, David N. (David Nelson), 1962-, Manoach, Dara, Melcher, Jennifer R., Moore, Christopher, Wald, Lawrence, Dale, Anders, Schmitt, F. (Franz), 1953-, Greve, Doug, Hoge, Rick, Jovicich, Jorge, Mandeville, Joe, Rosen, Bruce Robert, Savage, Cary, Savoy, Robert, Sorensen, A. Gregory, Tuch, David Solomon, 1973-, Vanduffel, Wim, Vangel, Mark Geoffrey, Bush, George

“…Probability, linear algebra, differential equations, and introductory or college-level subjects in neurobiology, physiology, and physics is required.…”
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HST.583 Functional Magnetic Resonance Imaging: Data Acquisition and Analysis, Fall 2004 by Gollub, Randy L., Savoy, Robert, Wald, Lawrence, Banzett, Robert B., Dickerson, Bradford C, Melcher, Jennifer R., Kennedy, David N. (David Nelson), 1962-, Tuch, David Solomon, 1973-, Jovicich, Jorge, Greve, Doug, Mandeville, Joe, Vangel, Mark Geoffrey, Hoge, Rick, Blood, Anne, Hadjikhani, Nouchine, Moore, Christopher, Salat, David, Sigalovsky, Irina S., 1972-, Stufflebeam, Steven M, Zalesky, Martin

“…Probability, linear algebra, differential equations, and introductory or college-level subjects in neurobiology, physiology, and physics is required.…”
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Psychotropic taxonomies: constructing a therapeutic framework for psychiatry by McCutcheon, RA, Cowen, P, Nour, MM, Pillinger, T

“…Finally, we consider how data-driven methods might address the issue of classification at an intermediate level, based around transdiagnostic neurobiological and psychopathological markers.</p>…”

Connecting genomic results for psychiatric disorders to human brain cell types and regions reveals convergence with functional connectivity by Yao, S, Harder, A, Darki, F, Chang, Y, Li, A, Nikouei, K, Volpe, G, Lundström, JN, Zeng, J, Wray, NR, Lu, Y, Sullivan, PF, Hjerling-Leffler, J

“…Identifying cell types and brain regions critical for psychiatric disorders and brain traits is essential for targeted neurobiological research. By integrating genomic insights from genome-wide association studies with a comprehensive single-cell transcriptomic atlas of the adult human brain, we prioritized specific neuronal clusters significantly enriched for the SNP-heritabilities for schizophrenia, bipolar disorder, and major depressive disorder along with intelligence, education, and neuroticism. …”

Autoimmune encephalitis: recent clinical and biological advances by Varley, JA, Strippel, C, Handel, A, Irani, SR

“…Now, in 2023, we present an update of the subject which reflects the rapid expansion and refinement of associated clinical phenotypes, further autoantibody discoveries, and a more detailed understanding of immunological and neurobiological pathophysiological pathways which mediate these diseases. …”

The effect of nonlinear pedagogical principles on herding behaviour in a modified football game by Lee, Wei Jie

“…The interactions of mass individuals in social, neurobiological systems such as bird flocks and fish schools provide countless examples of spontaneous pattern formation. …”
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From relaxed beliefs under psychedelics (REBUS) to revised beliefs after psychedelics (REBAS) by Zeifman, RJ, Spriggs, MJ, Kettner, H, Lyons, T, Rosas, FE, Mediano, PAM, Erritzoe, D, Carhart-Harris, RL

“…The Relaxed Beliefs Under pSychedelics (REBUS) model proposes that serotonergic psychedelics decrease the precision weighting of neurobiologically-encoded beliefs. We conducted a preliminary examination of two psychological assumptions of REBUS: (a) psychedelics foster acute relaxation and post-acute revision of confidence in mental-health-relevant beliefs; which (b) facilitate positive therapeutic outcomes and are associated with the entropy of EEG signals. …”

Cognitive training and mild cognitive impairment : a review by Chua, Xavier Cheng En, Seow, Jonathan Wei En, Tan, Huiting

“…Additionally, results from the application of functional magnetic resonance imaging (fMRI) and other neurobiological measures provide evidence for CT-induced neuroplasticity in the MCI individual. …”
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Multifunctional Wireless Gut-Brain Neurotechnology by Sahasrabudhe, Atharva

“…The anatomical, functional, and molecular details about these brain-body pathways are beginning to be deciphered, but a lot remains to be uncovered. Cutting edge neurobiological tools like optogenetics, chemogenetics, and activity-based sensors have revolutionized studies of the brain. …”
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Multi-site benchmark classification of major depressive disorder using machine learning on cortical and subcortical measures by Belov, Vladimir, Erwin-Grabner, Tracy, Aghajani, Moji, Aleman, Andre, Amod, Alyssa R., Basgoze, Zeynep, Benedetti, Francesco, Besteher, Bianca, Bülow, Robin, Ching, Christopher R. K., Connolly, Colm G., Cullen, Kathryn, Davey, Christopher G., Dima, Danai, Dols, Annemiek, Evans, Jennifer W., Fu, Cynthia H. Y., Gonul, Ali Saffet, Gotlib, Ian H., Grabe, Hans J., Groenewold, Nynke, Hamilton, J. Paul, Harrison, Ben J., Ho, Tiffany C., Mwangi, Benson, Jaworska, Natalia, Jahanshad, Neda, Klimes-Dougan, Bonnie, Koopowitz, Sheri-Michelle, Lancaster, Thomas, Li, Meng, Linden, David E. J., MacMaster, Frank P., Mehler, David M. A., Melloni, Elisa, Mueller, Bryon A., Ojha, Amar, Oudega, Mardien L., Penninx, Brenda W. J. H., Poletti, Sara, Pomarol-Clotet, Edith, Portella, Maria J., Pozzi, Elena, Reneman, Liesbeth, Sacchet, Matthew D., Sämann, Philipp G., Schrantee, Anouk, Sim, Kang, Soares, Jair C., Stein, Dan J., Thomopoulos, Sophia I., Uyar-Demir, Aslihan, van der Wee, Nic J. A., van der Werff, Steven J. A., Völzke, Henry, Whittle, Sarah, Wittfeld, Katharina, Wright, Margaret J., Wu, Mon-Ju, Yang, Tony T., Zarate, Carlos, Veltman, Dick J., Schmaal, Lianne, Thompson, Paul M., Goya-Maldonado, Roberto

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