Zobrazeno 1 - 5
of 5
pro vyhledávání: '"39"'
Autor:
Zhicai Chen, Min Lou, Ying Zhou, Jianzhong Sun, Jinsong Cai, Siyan Chen, Jian-an Wang, Xiaoxian Gong, Xuting Zhang, Lei Fang, Wenhua Zhang
Publikováno v:
NeuroImage, Vol 238, Iss, Pp 118257-(2021)
Few studies have focused on the connection between glymphatic dysfunction and cerebral small vessel disease (CSVD), partially due to the lack of non-invasive methods to measure glymphatic function. We established modified index for diffusion tensor i
Autor:
Florian Schubert, Yadira Roa Romero, Semiha Aydin, Ralf Mekle, Daniel Senkowski, Jürgen Gallinat, Johanna Balz, Bernd Ittermann, Julian Keil
Publikováno v:
NeuroImage. 125:724-730
In everyday life we are confronted with inputs of multisensory stimuli that need to be integrated across our senses. Individuals vary considerably in how they integrate multisensory information, yet the neurochemical foundations underlying this varia
Autor:
Gagan S. Wig, Micaela Chan, Hong Gu, Peiying Liu, Yihong Yang, Hanzhang Lu, Shin Lei Peng, Yang Li, Denise C. Park, Xirui Hou
Publikováno v:
NeuroImage. 186
Functional connectivity MRI, based on Blood-Oxygenation-Level-Dependent (BOLD) signals, is typically performed while the subject is at rest. On the other hand, BOLD is also widely used in physiological imaging such as cerebrovascular reactivity (CVR)
Autor:
Vera Dinkelacker, Séverine Samson, Michel Baulac, Daniela Sammler, Lionel Thivard, Stéphane Lehéricy, Xavier Leclerc, Romain Valabregue, Sophie Dupont, Olivier Colliot, Pierre Besson
Publikováno v:
NeuroImage
NeuroImage, Elsevier, 2014, pp.135-44
NeuroImage, 2014, pp.135-44
NeuroImage, Elsevier, 2014, pp.135-44
NeuroImage, 2014, pp.135-44
International audience; Our knowledge on temporal lobe epilepsy (TLE) with hippocampal sclerosis has evolved towards the view that this syndrome affects widespread brain networks. Diffusion weighted imaging studies have shown alterations of large whi
Autor:
Cynthia M. Stonnington, Stefan Klöppel, Richard S.J. Frackowiak, John Ashburner, Clifford R. Jack, Carlton Chu
Publikováno v:
NeuroImage
NeuroImage, vol. 51, no. 4, pp. 1405-1413
NeuroImage, vol. 51, no. 4, pp. 1405-1413
Machine learning and pattern recognition methods have been used to diagnose Alzheimer's disease (AD) and mild cognitive impairment (MCI) from individual MRI scans. Another application of such methods is to predict clinical scores from individual scan