scholarly journals Introduction to the Special Issue: 2020 Pacific Rim New Horizons in Human Brain Imaging: Neuroimaging across the Lifespan

2022 ◽  
Author(s):  
Neda Jahanshad ◽  
Xi-Nian Zuo
Keyword(s):  
Human Brain ◽  
Brain Imaging ◽  
Pacific Rim ◽  
Special Issue ◽  
New Horizons

scholarly journals New Horizons for the Next Era of Human Brain Imaging, Cognitive, and Behavioral Research: Pacific Rim Interactivity

2008 ◽  
Vol 2 (4) ◽  
pp. 227-231 ◽  
Author(s):  
John Darrell Van Horn ◽  
Peter A. Bandettini ◽  
Kang Cheng ◽  
Gary F. Egan ◽  
V. Andrew Stenger ◽  
...  
Keyword(s):  
Human Brain ◽  
Brain Imaging ◽  
Behavioral Research ◽  
Pacific Rim ◽  
New Horizons

YURAGI Synthesis for Ultrasonic Human Brain Imaging

2013 ◽  
Vol 17 (1) ◽  
pp. 74-82 ◽  
Author(s):  
Naomi Yagi ◽  
◽  
Yoshitetsu Oshiro ◽  
Tomomoto Ishikawa ◽  
Yutaka Hata ◽  
...  
Keyword(s):  
Medical Imaging ◽  
Image Registration ◽  
Human Brain ◽  
Energy Saving ◽  
Brain Imaging ◽  
Error Rate ◽  
Fuzzy Inference ◽  
Imaging Technique ◽  
Image Synthesis ◽  
Special Issue

This paper proposes YURAGI synthesis for brain imaging under the skull. The advantage of the proposed method over conventional methods is that, using YURAGI synthesis, it is possible to obtain the effective results without image registration. Image registration is generally needed when more than two images are to be synthesized into one image. YURAGI synthesis does not need image registration; thus, its method is simpler than other methods that need image synthesis. The effectiveness of the proposed method was confirmed by comparing its error rate and accuracy with those of other methods. YURAGI leads the simple and energy-saving system with performing autoregulation. Autoregulation is utilized in many biological systems. In this study, YURAGI was applied to an ultrasound-based diagnostic medical imaging technique. The experimental results using YURAGI were superior to those using othermethods. Thus, YURAGI is useful for visualizing the human brain.11. This paper has been reviewed and accepted as a regular paper. The paper was invited and incorporated into the Special Issue on Advances in Fuzzy Inference and its Related Techniques.

scholarly journals The brain timewise: how timing shapes and supports brain function

2015 ◽  
Vol 370 (1668) ◽  
pp. 20140170 ◽  
Author(s):  
Riitta Hari ◽  
Lauri Parkkonen
Keyword(s):  
Human Brain ◽  
Brain Imaging ◽  
Brain Function ◽  
Temporal Dynamics ◽  
Generative Models ◽  
Network Activity ◽  
Brain Diseases ◽  
Specific Information ◽  
Non Invasive ◽  
The Brain

We discuss the importance of timing in brain function: how temporal dynamics of the world has left its traces in the brain during evolution and how we can monitor the dynamics of the human brain with non-invasive measurements. Accurate timing is important for the interplay of neurons, neuronal circuitries, brain areas and human individuals. In the human brain, multiple temporal integration windows are hierarchically organized, with temporal scales ranging from microseconds to tens and hundreds of milliseconds for perceptual, motor and cognitive functions, and up to minutes, hours and even months for hormonal and mood changes. Accurate timing is impaired in several brain diseases. From the current repertoire of non-invasive brain imaging methods, only magnetoencephalography (MEG) and scalp electroencephalography (EEG) provide millisecond time-resolution; our focus in this paper is on MEG. Since the introduction of high-density whole-scalp MEG/EEG coverage in the 1990s, the instrumentation has not changed drastically; yet, novel data analyses are advancing the field rapidly by shifting the focus from the mere pinpointing of activity hotspots to seeking stimulus- or task-specific information and to characterizing functional networks. During the next decades, we can expect increased spatial resolution and accuracy of the time-resolved brain imaging and better understanding of brain function, especially its temporal constraints, with the development of novel instrumentation and finer-grained, physiologically inspired generative models of local and network activity. Merging both spatial and temporal information with increasing accuracy and carrying out recordings in naturalistic conditions, including social interaction, will bring much new information about human brain function.

Identification and Morphologic Assessment of Mesocoelic Recess by In Vivo Human Brain Imaging With 7.0-T Magnetic Resonance Imaging

2011 ◽  
Vol 35 (4) ◽  
pp. 486-491 ◽  
Author(s):  
Na Rae Kim ◽  
Je G. Chi ◽  
Sang Han Choi ◽  
Young-Bo Kim ◽  
Hee Young Hwang ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Human Brain ◽  
Brain Imaging ◽  
Resonance Imaging

Human brain imaging and substance abuse

2005 ◽  
Vol 5 (1) ◽  
pp. 42-46 ◽  
Author(s):  
Anne Lingford-Hughes
Keyword(s):  
Substance Abuse ◽  
Human Brain ◽  
Brain Imaging
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