Classification and prediction of brain disorders using functional connectivity: promising but challenging

Y Du, Z Fu, VD Calhoun - Frontiers in neuroscience, 2018 - frontiersin.org
Brain functional imaging data, especially functional magnetic resonance imaging (fMRI)
data, have been employed to reflect functional integration of the brain. Alteration in brain …

The neural and neurocomputational bases of recovery from post-stroke aphasia

JD Stefaniak, AD Halai… - Nature Reviews Neurology, 2020 - nature.com
Abstract Language impairment, or aphasia, is a disabling symptom that affects at least one
third of individuals after stroke. Some affected individuals will spontaneously recover partial …

On testing for spatial correspondence between maps of human brain structure and function

AF Alexander-Bloch, H Shou, S Liu, TD Satterthwaite… - Neuroimage, 2018 - Elsevier
A critical issue in many neuroimaging studies is the comparison between brain maps.
Nonetheless, it remains unclear how one should test hypotheses focused on the overlap or …

Love is analogous to money in human brain: Coordinate-based and functional connectivity meta-analyses of social and monetary reward anticipation

R Gu, W Huang, J Camilleri, P Xu, P Wei… - Neuroscience & …, 2019 - Elsevier
Both social and material rewards play a crucial role in daily life and function as strong
incentives for various goal-directed behaviors. However, it remains unclear whether the …

Intrinsic functional network architecture of human semantic processing: Modules and hubs

Y Xu, Q Lin, Z Han, Y He, Y Bi - Neuroimage, 2016 - Elsevier
Semantic processing entails the activation of widely distributed brain areas across the
temporal, parietal, and frontal lobes. To understand the functional structure of this semantic …

The rich get richer: brain injury elicits hyperconnectivity in core subnetworks

FG Hillary, SM Rajtmajer, CA Roman, JD Medaglia… - PloS one, 2014 - journals.plos.org
There remains much unknown about how large-scale neural networks accommodate
neurological disruption, such as moderate and severe traumatic brain injury (TBI). A primary …

Common and unique neural networks for proactive and reactive response inhibition revealed by independent component analysis of functional MRI data

J Van Belle, M Vink, S Durston, BB Zandbelt - Neuroimage, 2014 - Elsevier
Response inhibition involves proactive and reactive modes. Proactive inhibition is goal-
directed, triggered by warning cues, and serves to restrain actions. Reactive inhibition is …

Large-scale brain network connectivity underlying creativity in resting-state and task fMRI: Cooperation between default network and frontal-parietal network

L Shi, J Sun, Y Xia, Z Ren, Q Chen, D Wei, W Yang… - Biological …, 2018 - Elsevier
Creativity is imperative to social development and the promotion of well-being. Here,
independent component analysis and functional network connectivity analysis methods …

Brain networks of happiness: dynamic functional connectivity among the default, cognitive and salience networks relates to subjective well-being

L Shi, J Sun, X Wu, D Wei, Q Chen… - Social cognitive and …, 2018 - academic.oup.com
Subjective well-being (SWB) reflects the cognitive and emotional evaluations of an
individual's life and plays an important role in individual's success in health, work and social …

Effect of spatial smoothing on task fMRI ICA and functional connectivity

Z Chen, V Calhoun - Frontiers in neuroscience, 2018 - frontiersin.org
Spatial smoothing is a widely used preprocessing step in functional magnetic resonance
imaging (fMRI) data analysis. In this work, we report on the spatial smoothing effect on task …