Normative modeling of brain morphometry in clinical high risk for psychosis by Haas, Shalaila S., Ge, Ruiyang, Agartz, Ingrid, Amminger, G. Paul, Andreassen, Ole A., Bachman, Peter, Baeza, Inmaculada, Choi, Sunah, Colibazzi, Tiziano, Cropley, Vanessa L., de la Fuente-Sandoval, Camilo, Ebdrup, Bjørn H., Fortea, Adriana, Fusar-Poli, Paolo, Glenthøj, Birte Yding, Glenthøj, Louise Birkedal, Haut, Kristen M., Hayes, Rebecca A., Heekeren, Karsten, Hooker, Christine I., Hwang, Wu Jeong, Jahanshad, Neda, Kaess, Michael, Kasai, Kiyoto, Katagiri, Naoyuki, Kim, Minah, Kindler, Jochen, Koike, Shinsuke, Kristensen, Tina D., Kwon, Jun Soo, Lawrie, Stephen M., Lebedeva, Irina, Lee, Jimmy, Lemmers-Jansen, Imke L. J., Lin, Ashleigh, Ma, Xiaoqian, Mathalon, Daniel H., McGuire, Philip, Michel, Chantal, Mizrahi, Romina, Mizuno, Masafumi, Møller, Paul, Mora-Durán, Ricardo, Nelson, Barnaby, Nemoto, Takahiro, Nordentoft, Merete, Nordholm, Dorte, Omelchenko, Maria A., Pantelis, Christos, Pariente, Jose C., Raghava, Jayachandra M., Reyes-Madrigal, Francisco, Røssberg, Jan I., Rössler, Wulf, Salisbury, Dean F., Sasabayashi, Daiki, Schall, Ulrich, Smigielski, Lukasz, Sugranyes, Gisela, Suzuki, Michio, Takahashi, Tsutomu, Tamnes, Christian K., Theodoridou, Anastasia, Thomopoulos, Sophia I., Thompson, Paul M., Tomyshev, Alexander S., Uhlhaas, Peter J., Værnes, Tor G., van Amelsvoort, Therese A. M. J., van Erp, Theo G. M., Waltz, James A., Wenneberg, Christina, Westlye, Lars T., Wood, Stephen J., Zhou, Juan H., Hernaus, Dennis, Jalbrzikowski, Maria, Kahn, René S., Corcoran, Cheryl M., Frangou, Sophia

Get full text

Nickel-silicided Schottky junction CMOS transistors with gate-all-around nanowire channels by Tang, L. J., Ho, C. K. F., Tan, Eu Jin, Pey, Kin Leong, Singh, Navab, Lo, Guo-Qiang, Chi, Dong Zhi, Chin, Yoke King, Lee, Pooi See

“…We demonstrate high-performance Schottky CMOS transistors with NiSi source/drain and gate-all-around (GAA) silicon nanowire (~5 nm) channels. …”
Get full text
Get full text

Measurement of brain structures based on statistical and geometrical 3D segmentation by ángel, M, Ballester, G, Zisserman, A, Brady, M

Feature extraction from EEG signals and regularization for brain-computer interface by Mishuhina, Vasilisa

“…Brain-computer interface (BCI) is a promising technique which analyses and translates brain signals to computer commands. …”
Get full text

Land reclamation - from conventional vertical drain methods to a combined vacuum preloading and electro-osmosis with horizontal drainage enhanced geotextile sheets by Wong, Lung Anthony

“…Consolidation analysis of drained reclamation work is a key aspect in assessing the performance of the ground improvement work conducted. …”
Get full text

Mapping tissue magnetic susceptibility and its biological correlates in the human brain by Wang, C

“…One of the features that is intrinsically important to MRI is magnetic susceptibility (χ). In brain imaging, χ contrast between structures primarily arises from tissue iron, calcium and myelin content, all of which are important tissue constituents related to a variety of brain functions and diseases. …”

Radiofrequency waves increase the brain levels of inflammatory biomarkers, neurotrophin and serotonin by Azimzadeh, Mansour, Radmard, Fatemeh, Jelodar, Gholamali

“…The results showed disruptions in all biomarkers, indicating the potential impacts of daily exposure to 900 MHz radiofrequency waves from mobile phones on brain function. …”
Get full text

Brain cell laser powered by deep-learning-enhanced laser modes by Qiao, Zhen, Sun, Wen, Zhang, Na, Ang, Randall, Wang, Wenjie, Chew, Sing Yian, Chen, Yu-Cheng

Get full text

Spectrum and phase adaptive CCA for SSVEP-based brain computer interface by Zhang, Zhuo, Wang, Chuanchu, Ang, Kai Keng, Wai, Aung Aung Phyo, Guan, Cuntai

Get full text

Parallel transmission technologies for imaging the brain and body with 7 tesla MRI by Kent, JL

“…Both parallel transmit scattering and pilot tone showed good sensitivity to head motion and each method was able to accurately predict rigid body head motion in all six degrees of freedom using a linear regression model.…”

Interventions for managing skeletal muscle spasticity following traumatic brain injury by Synnot, Anneliese, Chau, Marisa, Pitt, Veronica, O'Connor, Denise, Gruen, Russell Lindsay, Wasiak, Jason, Clavisi, Ornella, Pattuwage, Loyal, Phillips, Kate

“…Background: Skeletal muscle spasticity is a major physical complication resulting from traumatic brain injury (TBI), which can lead to muscle contracture, joint stiffness, reduced range of movement, broken skin and pain. …”
Get full text
Get full text

Mental fatigue assessment using brain computer interface (BCI) game by Muhammad Iman Nur Haqim Sulaiman

Get full text

Situational awareness (perception) assessment of ATC monitoring via brain eye measures by Lai, Marissa Shi Lin

“…Thereafter, the measure of situational awareness will be linked to the eye and brain data to identify the physiological signals. …”
Get full text

Improved virtual keyboard design for P300-based brain-computer interface by Tay, Abel Ping Liang.

“…The current program flashes all buttons randomly in a round for a few rounds, and then takes all values to determine which character has the highest probability. …”
Get full text

From the body to the brain: Studying drug delivery and physiological interactions using MRI by Dawson, Miranda

“…In all, this work serves as a demonstration of the power of quantitative neuroimaging methods for multifaceted investigation of brain and body relationships.…”
Get full text

Machine learning based feature extraction from EEG signals for brain-computer interface by Cai, AoChen

“…The EEG signal is a testing record which is utilized to reflect the electrical activity of brain cells in the cerebral cortex. By analyzing and transferring EEG signals to computer with BCI, brain activity can be translated and interpreted into instructions and commands for computer. …”
Get full text

Design of a hybrid neural spike detection algorithm for implantable integrated brain circuits by Zeinolabedin, Seyed Mohammad Ali, Do, Anh Tuan, Yeo, Kiat Seng, Kim, Tony Tae-Hyoung

Get full text
Get full text

Specific maternal brain responses to their own child’s face : an fMRI meta-analysis by Rigo, Paola, Kim, Pilyoung, Esposito, Gianluca, Putnick, Diane L., Venuti, Paola, Bornstein, Marc H.

Get full text
Get full text

Mapping the Cellular Landscape of the Brain: A Scalable Approach to Comprehensive Microscopy Data Analysis by Kim, Minyoung E.

“…Recent advances in intact tissue processing and imaging have enabled the generation of whole brain microscopy data at subcellular resolution, revealing intricate morphological details of cells at unprecedented scales. …”
Get full text
Get full text

Genetic algorithm based deep learning model adaptation for improvising the motor imagery classification by R, Vishnupriya, Robinson, Neethu, M, Ramasubba Reddy

“…Transfer learning methods such as adaptation or fine-tuning can be used on the pre-trained model to improve the performance. …”
Get full text