The Relationship of Triphasic Waves with Intracranial Pressure as a Possible Prognostic Marker in Traumatic Brain Injury by Nakul Katyal, Aarti Sarwal, Pravin George, Biswajit Banik, Christopher R. Newey

“…We present a case highlighting the relationship of TW with ICP in a case with severe traumatic brain injury (TBI). Method. Case report. Results. …”
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Formulation and characterization of CMPI nanoparticles for enhanced targeting of brain nicotinic receptors by positive allosteric modulator by Rahma Aly, Shoukath Sulthana, Robert Beaudoin, Ayman K. Hamouda, Santosh Aryal

“…Maximizing delivery of CMPI would enhance its interaction with brain nAChRs that are associated with the desired therapeutic effects while avoiding interactions with peripheral nAChRs that are associated with undesired side effects is critical to the development of nAChR PAM-based therapeutics. …”
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The amplitude of low frequency fluctuation and spontaneous brain activity alterations in age-related macular degeneration by Yan Yan Zhang, Jin Yu Hu, Qian Ling, San Hua Xu, Min Kang, Hong Wei, Jie Zou, Quanyong Yi, Gang Tan, Yi Shao, Yi Shao

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Could LC-NE-Dependent Adjustment of Neural Gain Drive Functional Brain Network Reorganization? by Carole Guedj, David Meunier, Martine Meunier, Fadila Hadj-Bouziane

“…Here, we provide evidence of the co-occurrence of these two mechanisms at the whole-brain level, in resting-state conditions following a pharmacological stimulation of the LC-NE system. …”
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The Microbiota–Gut–Brain Axis: Key Mechanisms Driving Glymphopathy and Cerebral Small Vessel Disease by Che Mohd Nasril Che Mohd Nassir, Muhammad Danial Che Ramli, Mazira Mohamad Ghazali, Usman Jaffer, Hafizah Abdul Hamid, Muhammad Zulfadli Mehat, Zaw Myo Hein

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Deoxycholic Acid as a Modifier of the Permeation of Gliclazide through the Blood Brain Barrier of a Rat by Mladena Lalić-Popović, Velibor Vasović, Boris Milijašević, Svetlana Goločorbin-Kon, Hani Al-Salami, Momir Mikov

“…Major problem for diabetic patients represents damage of blood vessels and the oxidative stress of the brain cells due to increased concentration of free radicals and poor nutrition of brain cells. …”
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IMPROVING PREDICTION ACCURACY OF DEEP LEARNING FOR BRAIN CANCER DIAGNOSIS USING POLYAK-RUPPERT OPTIMIZATION by M Muthulekshmi, Azath Mubarakali, Y M Blessy

Subjects: “…computer-aided diagnosis, brain cancer, deep learning, convolutional neural network, polyak ruppert optimization…”
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Self-Inhibiting Modules Can Self-Organize as a Brain of a Robot: A Conjecture by J. Negrete-Martínez

“…Since scheduling a module does not necessarily produce its sustained intervention, the architecture of the “brain” is actually providing action induction rather than action selection.…”
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An open window: the crucial role of the gut-brain axis in neurodevelopmental outcomes post-neurocritical illness by Victoria Ronan

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Relationship Between Bi-Caudate Ratio and White Matter Atrophy in Brain MRI of Multiple Sclerosis by Hussein Soleimantabar, Shno Hosseini

“…Background: Multiple sclerosis (MS) is one of the most common and debilitating neurological diseases. Brain magnetic resonance imaging (MRI) is critical to determine the prognosis of MS. …”
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Blood-Brain Barrier Abnormalities Caused by HIV-1 gp120: Mechanistic and Therapeutic Implications by Jean-Pierre Louboutin, David S. Strayer

“…The blood-brain barrier (BBB) is compromised in many systemic and CNS diseases, including HIV-1 infection of the brain. …”
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The Role of Insulin, Insulin Growth Factor, and Insulin-Degrading Enzyme in Brain Aging and Alzheimer's Disease by Claude Messier, Kevin Teutenberg

“…Most brain insulin comes from the pancreas and is taken up by the brain by what appears to be a receptor-based carrier. …”
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Immediate and sustained efficacy of Deep Brain Stimulation for major depressive disorder with persistent suicidal ideation by Botao Xiong, Changjian Qiu, Wei Zhang, Wei Wang

Subjects: “…Deep brain stimulation…”
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Can ChatGPT4-vision identify radiologic progression of multiple sclerosis on brain MRI? by Brendan S. Kelly, Sophie Duignan, Prateek Mathur, Henry Dillon, Edward H. Lee, Kristen W. Yeom, Pearse A. Keane, Aonghus Lawlor, Ronan P. Killeen

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Brain network and energy imbalance in Parkinson’s disease: linking ATP reduction and α-synuclein pathology by Hirohisa Watanabe, Sayuri Shima, Kazuya Kawabata, Yasuaki Mizutani, Akihiro Ueda, Akihiro Ueda, Mizuki Ito, Mizuki Ito

“…Parkinson’s disease (PD) involves the disruption of brain energy homeostasis. This encompasses broad-impact factors such as mitochondrial dysfunction, impaired glycolysis, and other metabolic disturbances, like disruptions in the pentose phosphate pathway and purine metabolism. …”
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Impact of English proficiency on use of Glasgow Coma Scale in geriatric patients with traumatic brain injury by Veronica Layrisse-Landaeta, Gabriela R Dincheva, Shahenda Khedr, Andrew Geng, Michele Schombs, Kazi Maisha, Steven Y Chao, Chun-Cheng Chen

“…Background The relationship between English proficiency (EP), Glasgow Coma Scale (GCS) and traumatic brain injury (TBI) is not well characterized. We aimed to understand the impact of limited English proficiency (LEP) on the evaluation and outcomes of TBI.Methods Retrospective comparative study in a single institution of patients aged ⪰65 who presented to the emergency department after a fall with head strike between January 2018 and December 2021. …”
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Amplitude Modulation Depth Coding Method for SSVEP-Based Brain–Computer Interfaces by Ruxue Li, Zhenyu Wang, Xi Zhao, Guiying Xu, Honglin Hu, Ting Zhou, Tianheng Xu

Subjects: “…Brain-computer interfaces…”
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Thyroid-Induced Worsening of Parkinsonian Tremor Resistant to Drugs and Subthalamic Nucleus Deep Brain Stimulation by Michal Minár, Peter Valkovič

“…We report on a patient whose parkinsonian tremor worsened and proved refractory not only to common treatment, but also to deep brain stimulation (DBS). Case Presentation. A 61-year-old woman with advanced PD underwent bilateral subthalamic DBS, with an excellent outcome. …”
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Brain computer interfaces for cognitive enhancement in older people - challenges and applications: a systematic review by Ping-Chen Tsai, Asangaedem Akpan, Kea-Tiong Tang, Heba Lakany

Subjects: “…Brain computer interface…”
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Enhancing Brain Tumor Detection: A Comparative Study of CNN Architectures Using MRI Data by Zhu Zhimeng

“…Deep learning models have become essential for automated medical image analysis in brain tumor detection. Existing Convolutional Neural Network (CNN) models like Visual Geometry Group 19 (VGG19), Residual Network 18 (ResNet18), and Residual Network 34 (ResNet34), despite their success in image classification and recognition, face challenges such as unclear boundary detection, limited generalization, and lower computational efficiency in detecting brain tumors. …”
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