Tools for Mapping the Links Between Stimuli, AffectiveStates, and Behavior through Whole-Brain Imaging inZebrafish Larvae by Zhang, Caroline Lige

“…However, functional imaging of behaving animals often focuses on a singular brain region. Whole-brain imaging, on the other hand, has the capacity to significantly advance our understanding of the brain's functional architecture. …”
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Mass spectrometry imaging highlights dynamic patterns of lipid co-expression with Aβ plaques in mouse and human brains by Huang, Helen Xuexia, Inglese, Paolo, Tang, Jiabin, Yagoubi, Riad, Correia, Gonçalo D. S., Horneffer-van der Sluis, Verena M., Camuzeaux, Stephane, Wu, Vincen, Kopanitsa, Maksym V., Willumsen, Nanet, Jackson, Johanna S., Barron, Anna M., Saito, Takashi, Saido, Takaomi C., Gentlemen, Steve, Takats, Zoltan, Matthews, Paul M.

“…Lipids play crucial roles in the susceptibility and brain cellular responses to Alzheimer's disease (AD) and are increasingly considered potential soluble biomarkers in cerebrospinal fluid (CSF) and plasma. …”
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Are tai chi and qigong effective in the treatment of TBI? A systematic review protocol by Laskosky, Nicole Alexandra, Huston, Patricia, Lam, Wai Ching, Anderson, Charlotte, Zheng, Ya, Zhong, Linda Lidan

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Transferring a deep learning model from healthy subjects to stroke patients in a motor imagery brain-computer interface by Nagarajan, Aarthy, Robinson, Neethu, Ang, Kai Keng, Chua, Karen Sui Geok, Chew, Effie, Guan, Cuntai

“…Objective. Motor imagery (MI) brain-computer interfaces (BCIs) based on electroencephalogram (EEG) have been developed primarily for stroke rehabilitation, however, due to limited stroke data, current deep learning methods for cross-subject classification rely on healthy data. …”
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Dietary strategies to mitigate alzheimer's disease: insights into antioxidant vitamin intake and supplementation with microbiota-gut-brain axis cross-talk by Wan Zurinah, Wan Ngah, Hajar Fauzan, Ahmad, Sheril June, Ankasha, Suzana, Makpol, Tooyama, Ikuo

“…The changed gut microbiota affects brain function and behavior through several mechanisms, including tau phosphorylation and increased amyloid deposits, neuroinflammation, metabolic abnormalities, and persistent oxidative stress. …”
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The MR Cap: A single‐sided MRI system designed for potential point‐of‐care limited field‐of‐view brain imaging by McDaniel, Patrick C., Cooley, Clarissa Zimmerman, Stockmann, Jason P., Wald, Lawrence L.

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Identification of potent new brain cancer EGFR inhibitor from usimine A and usimine B: computer-aided drug design perspective by Roney, Miah, Issahaku, Abdul Rashid, Wilhelm, Anke, Mohd Fadhlizil Fasihi, Mohd Aluwi

“…Brain cancer ranks 10th among cancer-related causes of death for patients worldwide. …”
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A Digital Phenotypic Assessment in Neuro-Oncology (DANO): A Pilot Study on Sociability Changes in Patients Undergoing Treatment for Brain Malignancies by Siddi, Francesca, Emedom-Nnamdi, Patrick, Catalino, Michael P., Rana, Aakanksha, Boaro, Alessandro, Dawood, Hassan Y., Sala, Francesco, Onnela, Jukka-Pekka, Smith, Timothy R.

“…first_pageDownload PDFsettingsOrder Article Reprints Open AccessArticle A Digital Phenotypic Assessment in Neuro-Oncology (DANO): A Pilot Study on Sociability Changes in Patients Undergoing Treatment for Brain Malignancies † by Francesca Siddi 1,2,*,Patrick Emedom-Nnamdi 3,Michael P. …”
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Characterising a working behavioural model to chronically stress zebrafish subjects and optimising brain RNA extraction in preparation for RNA-Seq analysis. by Siddharth Janarthanan.

“…The zebrafish has been established to be a good model to study the effects of fear and stress on the brain. It has been documented that events such as exposure to nicotine, netting, restraining in small spaces or exposure to air induce stress in fish. …”
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Posthospitalization COVID-19 cognitive deficits at 1 year are global and associated with elevated brain injury markers and gray matter volume reduction by Wood, GK, Sargent, BF, Ahmad, Z, Tharmaratnam, K, Dunai, C, Egbe, FN, Martin, NH, Facer, B, Pendered, SL, Rogers, HC, Hübel, C, van Wamelen, DJ, Bethlehem, RAI, Giunchiglia, V, Hellyer, PJ, Trender, W, Kalsi, G, Needham, E, Easton, A, Jackson, TA, Cunningham, C, Upthegrove, R, Pollak, TA, Hotopf, M, Miller, KL, Jezzard, P, Smith, SM, Husain, M, Vincent, A

“…Cognitive deficits were global, associated with elevated brain injury markers and reduced anterior cingulate cortex volume 1 year after COVID-19. …”

Unraveling microglial spatial organization in the developing human brain with DeepCellMap, a deep learning approach coupled with spatial statistics by Perochon, T, Krsnik, Z, Massimo, M, Ruchiy, Y, Romero, AL, Mohammadi, E, Li, X, Long, KR, Parkkinen, L, Blomgren, K, Lagache, T, Menassa, DA, Holcman, D

“…Mapping cellular organization in the developing brain presents significant challenges due to the multidimensional nature of the data, characterized by complex spatial patterns that are difficult to interpret without high-throughput tools. …”

Intraperitoneal injection of the Porphyromonas gingivalis outer membrane vesicle (OMV) stimulated expressions of neuroinflammatory markers and histopathological changes in the brains of adult zebrafish by Adewoyin, Malik, Hamarsha, Ahmed, Akinsola, Rasaq, Teoh, Seong Lin, Azmai, Mohammad Noor Amal, Abu Bakar, Noraini, Nasruddin, Nurrul Shaqinah

“…This study will enrich our understanding of the mechanism of P. gingivalis OMVs in neuroinflammation in a zebrafish model, most especially the timing of the expression of inflammatory mediators in relation to observable changes in brain tissues.…”
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Conceptual paper on action research in a chinese lithium electric materials company: brain drain, talent-position mismatch and talent outflow. by Fu, Jianghua, Choo, Ling Suan, Teo, Poh-Chuin, Tan, Jun-Wei, C. F. Ho, Theresa

A new framework for automatic detection of motor and mental imagery EEG signals for robust BCI systems by Yu, Xiaojun, Muhammad Zulkifal Aziz, Muhammad Tariq Sadiq, Fan, Zeming, Xiao, Gaoxi

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Data-driven brain emotional learning-based intelligent controller-PID control of MIMO systems based on a modified safe experimentation dynamics algorithm by Shahrizal, Saat, Mohd Ashraf, Ahmad, Mohd Riduwan, Ghazali

“…The MSEDA was used to tune the brain emotional learning-based intelligent controller (BELBIC) together with a proportional-integral-derivative (PID) controller. …”
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fNIRS reveals enhanced brain activation to female (versus male) infant directed speech (relative to adult directed speech) in Young Human Infants by Sulpizio, Simone, Doi, Hirokazu, Bornstein, Marc H., Cui, Joy, Esposito, Gianluca, Shinohara, Kazuyuki

“…We hypothesized an association between auditory stimulus structure and activity in the brain that underlies infant auditory preference. …”
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Kent Kiehl’s Search for the Criminal Brain America’s self-proclaimed “psychopath whisperer” says he can predict criminality in incarcerated people.... by Hopkins, Sarah Rebecca

“…Is it scientifically valid to have a brain-based view of criminal behavior? Is it ethically valid to assume that criminal behavior can be decoded from the brains of people incarcerated in a system that disproportionately impacts people of color and those from low socio-economic backgrounds? …”
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Lower serum uric acid and impairment of right cerebral hemisphere structural brain networks are related to depressive symptoms in cerebral small vessel disease: a cross-sectional study by Yu, Lei, Yi, Ming, Guo, Jiayu, Li, Jinbiao, Zeng, Huixing, Cui, Liqian, Xu, Xiangming, Liu, Gang, Fan, Yuhua, Zeng, Jinsheng, Xing, Shihui, Chen, Yicong, Wang, Meng, Tan, Shuangquan, Jin, Leow Yi, Kumar, Dilip, Vipin, Ashwati, Ann, Soo See, Fatin Zahra Binte Zailan, Sandhu, Gurveen Kaur, Kandiah, Nagaendran, Dang, Chao

“…Moreover, the relationship between structural brain networks and SUA has not been explored. This study examined the relationship between SUA and depressive symptoms in patients with SVD using graph theory analysis. …”
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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

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HST.583 Functional Magnetic Resonance Imaging: Data Acquisition and Analysis, Fall 2006 by Gollub, Randy L., Banzett, Robert B., Bolar, Divya S., Buckner, Randy, Dickerson, Bradford, Gabrieli, John D. E., Whitfield-Gabrieli, Susan, Greve, Doug, Hadjikhani, Nouchine, Helmer, Karl, Kanwisher, Nancy, Kennedy, David N. (David Nelson), 1962-, Mandeville, Joe, Manoach, Dara, Melcher, Jennifer R., Moore, Christopher, Napadow, Vitaly, Pujol, Sonia, Rosen, Bruce Robert, Salat, David, Savoy, Robert, Sodickson, Dan, Sorensen, A. Gregory, Triantafyllou, Christina, Vangel, Mark Geoffrey, Wald, Lawrence, Yendiki, Anastasia

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