Approaches to pushing the limits of human brain imaging

2017 ◽  
Vol 141 (5) ◽  
pp. 3558-3558
Author(s):  
Bruce Rosen
Keyword(s):  
Human Brain ◽  
Brain Imaging

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

A “flared-end” gradient coil with outer-wall direct cooling for human brain imaging: A feasibility study

2019 ◽  
Vol 62 ◽  
pp. 191-198
Author(s):  
Zhi Yang ◽  
Beihan Zhao ◽  
Yong Pei ◽  
Bao Yang ◽  
Hanbing Lu
Keyword(s):  
Human Brain ◽  
Brain Imaging ◽  
Feasibility Study ◽  
Outer Wall ◽  
Gradient Coil
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