Neurometrics of intrinsic connectivity networks at rest using fMRI: Retest reliability and cross-validation using a meta-level method

Wisner, Krista; Atluri, Gowtham; Lim, Kelvin O.; MacDonald, Angus W.

doi:10.1016/j.neuroimage.2013.02.066

Cited by 54 publications

(59 citation statements)

References 76 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Third, as an inherent limitation of cross-sectional studies investigating NSS in both health and disease, we do not know if this is a stable neural signature of NSS in healthy individuals. Good within-subject reliability over time has been shown for several neural networks at rest, including motor systems [52]. Still, although we assume stability across individuals, both at the neurodevelopmental and the level of data acquisition and analysis we cannot fully rule out the possibility that over time, both the extent of NSS and the pattern of neural activity associated with these motor phenomena might change.…”

Section: Limitationsmentioning

confidence: 82%

Neural network activity and neurological soft signs in healthy adults

Thomann

Hirjak

Kubera

et al. 2015

Behavioural Brain Research

View full text Add to dashboard Cite

Section: Limitationsmentioning

confidence: 82%

Neural network activity and neurological soft signs in healthy adults

Thomann

Hirjak

Kubera

et al. 2015

Behavioural Brain Research

View full text Add to dashboard Cite

“…Multiple studies have found evidence for limited test-retest reliability using a multitude of conventional rs-fcMRI network characteristics and analytic approaches (Braun et al, 2012; Wang et al, 2011; Wisner et al, 2013; Zuo et al, 2010; Zuo and Xing, 2014). Recent evidence suggests that these effects may largely result from insufficient data acquisition.…”

Section: Methodological Challenges and Recommendationsmentioning

confidence: 99%

Development of large-scale functional networks from birth to adulthood: A guide to the neuroimaging literature

2017

View full text Add to dashboard Cite

The development of human cognition results from the emergence of coordinated brain activity betweeen distant brain areas. Network science, combined with non-invasive functional imaging, has generated unprecedented insights regarding the adult brain’s functional organization, and promises to help elucidate the development of functional architectures supporting complex behavior. Here we review what is known about functional network development from birth until adulthood, particularly as understood through the use of resting-state functional connectivity MRI (rs-fcMRI). We attempt to synthesize rs-fcMRI findings with other functional imaging techniques, with macro-scale structural connectivity, and with knowledge regarding the development of micro-scale structure. We highlight a number of outstanding conceptual and technical barriers that need to be addressed, as well as previous developmental findings that may need to be revisited. Finally, we discuss key areas ripe for future research in order to 1) better characterize normative developmental trajectories, 2) link these trajectories to biologic mechanistic events, as well as component behaviors and 3) better understand the clinical implications and pathophysiological basis of aberrant network development.

show abstract

“…Third, as an inherent limitation of cross-sectional investigations, it is unclear if the relationship between cerebellar activity and NSS expression in healthy individuals is longitudinally stable, or whether it is considerably modulated, e.g., by age [47]. Good longitudinal within-subject reliability has been previously shown for cortical motor systems [57], albeit over short-term periods. The stability of cerebellar restingstate activity over time has not been determined so far.…”

Section: Limitationsmentioning

confidence: 99%

Cerebellar contributions to neurological soft signs in healthy young adults

Hirjak

Thomann

Kubera

et al. 2015

Eur Arch Psychiatry Clin Neurosci

View full text Add to dashboard Cite

Neurological soft signs (NSS) are frequently found in psychiatric disorders of significant neurodevelopmental origin, e.g., in patients with schizophrenia and autism. Yet NSS are also present in healthy individuals suggesting a neurodevelopmental signature of motor function, probably as a continuum between health and disease. So far, little is known about the neural mechanisms underlying these motor phenomena in healthy persons, and it is even less known whether the cerebellum contributes to NSS expression. Thirty-seven healthy young adults (mean age = 23 years) were studied using high-resolution structural magnetic resonance imaging (MRI) and "resting-state" functional MRI at three Tesla. NSS levels were measured using the "Heidelberg Scale." Cerebellar gray matter volume was investigated using cerebellum-optimized voxel-based analysis methods. Cerebellar function was assessed using regional homogeneity (ReHo), a measure of local network strength. The relationship between cerebellar structure and function and NSS was analyzed using regression models. There was no significant relationship between cerebellar volume and NSS (p < 0.005, uncorrected for height, p < 0.05 corrected for spatial extent). Positive associations with cerebellar lobule VI activity were found for the "motor coordination" and "hard signs" NSS domains. A negative relationship was found between lobule VI activity and "complex motor task" domain (p < 0.005, uncorrected for height, p < 0.05 corrected for spatial extent). The data indicate that in healthy young adults, distinct NSS domains are related to cerebellar activity, specifically with activity of cerebellar subregions with known cortical somatomotor projections. In contrast, cerebellar volume is not predictive of NSS in healthy persons.

show abstract

Neurometrics of intrinsic connectivity networks at rest using fMRI: Retest reliability and cross-validation using a meta-level method

Cited by 54 publications

References 76 publications

Neural network activity and neurological soft signs in healthy adults

Neural network activity and neurological soft signs in healthy adults

Development of large-scale functional networks from birth to adulthood: A guide to the neuroimaging literature

Cerebellar contributions to neurological soft signs in healthy young adults

Contact Info

Product

Resources

About