Functional connectivity arises from a slow rhythmic mechanism

Li, Jingfeng M.; Bentley, William J.; Snyder, Lawrence H.

doi:10.1073/pnas.1419837112

Cited by 52 publications

(68 citation statements)

References 75 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These findings are consistent with other observations of quasiperiodicity in brain function, all of which fall into the infraslow regime (Chow et al, 2013; Ko et al, 2011; J. M. Li et al, 2015; Nikulin et al, 2014).…”

Section: Neurophysiological Processes That Could Be Considered Noisesupporting

confidence: 93%

See 1 more Smart Citation

Noise and non-neuronal contributions to the BOLD signal: applications to and insights from animal studies

et al. 2017

View full text Add to dashboard Cite

The BOLD signal reflects hemodynamic events within the brain, which in turn are driven by metabolic changes and neural activity. However, the link between BOLD changes and neural activity is indirect and can be influenced by a number of non-neuronal processes. Motion and physiological cycles have long been known to affect the BOLD signal and are present in both humans and animal models. Differences in physiological baseline can also contribute to intra- and inter-subject variability. The use of anesthesia, common in animal studies, alters neural activity, vascular tone, and neurovascular coupling. Most intriguing, perhaps, are the contributions from other processes that do not appear to be neural in origin but which may provide information about other aspects of neurophysiology. This review discusses different types of noise and non-neuronal contributors to the BOLD signal, sources of variability for animal studies, and insights to be gained from animal models.

show abstract

Section: Neurophysiological Processes That Could Be Considered Noisesupporting

confidence: 93%

“…Evidence of quasiperiodicity in brain function comes from multiple groups (Chow et al, 2013; Grigg and Grady, 2010; Ko et al, 2011; J. M. Li et al, 2015; Nikulin et al, 2014) and shows that quasiperiodic activity persists across a number of states, including sleep, wakefulness, and anesthesia.…”

Section: Neurophysiological Processes That Could Be Considered Noisementioning

confidence: 99%

Noise and non-neuronal contributions to the BOLD signal: applications to and insights from animal studies

et al. 2017

View full text Add to dashboard Cite

show abstract

“…It was suggested that the default mode network maintains stimulus-independent thoughts or mind wandering (Konishi et al, 2015; Raichle et al, 2001; Weissman et al, 2006). It may set the stage for self-projection and scene construction in the constant switching between interoceptive and exteroceptive mind states (Buckner and Carroll, 2007; Li et al, 2015; Mars et al, 2013). Cytoarchitectonically, cluster 2 was here assigned to area PGa and PGp (Bzdok et al, 2013b; Caspers et al, 2006).…”

Section: Discussionmentioning

confidence: 99%

Left inferior parietal lobe engagement in social cognition and language

Bzdok

Hartwigsen

Reid

et al. 2016

Neuroscience & Biobehavioral Reviews

159

107

View full text Add to dashboard Cite

Social cognition and language are two core features of the human species. Despite distributed recruitment of brain regions in each mental capacity, the left parietal lobe (LPL) represents a zone of topographical convergence. The present study quantitatively summarizes hundreds of neuroimaging studies on social cognition and language. Using connectivity-based parcellation on a meta-analytically defined volume of interest (VOI), regional coactivation patterns within this VOI allowed identifying distinct subregions. Across parcellation solutions, two clusters emerged consistently in rostro-ventral and caudo-ventral aspects of the parietal VOI. Both clusters were functionally significantly associated with social-cognitive and language processing. In particular, the rostro-ventral cluster was associated with lower-level processing facets, while the caudo-ventral cluster was associated with higher-level processing facets in both mental capacities. Contrarily, in the (less stable) dorsal parietal VOI, all clusters reflected computation of general-purpose processes, such as working memory and matching tasks, that are frequently co-recruited by social or language processes. Our results hence favour a rostro-caudal distinction of lower-versus higher-level processes underlying social cognition and language in the left inferior parietal lobe.

show abstract

“…Its activities are principally internal and spontaneous rather than being stimulus‐locked [Andrews‐Hanna, ; Andrews‐Hanna et al, ]. Therefore, top‐down or spontaneous cognitive tasks may modulate activities in the DMN; alternatively, previous studies have revealed that the dominant frequency of DMN is 0.06 Hz or between 0.01 and 0.04 Hz [Li et al, ; Wu et al, ], indicating that a greater resonance may be occurred at lower frequency rather than at 0.1 Hz [Rosanova et al, ]. Both functional and frequency‐specific reasons should be tested in future studies.…”

Section: Discussionmentioning

confidence: 99%

Low frequency steady-state brain responses modulate large scale functional networks in a frequency-specific means

et al. 2015

View full text Add to dashboard Cite

Neural oscillations are essential for brain functions. Research has suggested that the frequency of neural oscillations is lower for more integrative and remote communications. In this vein, some resting-state studies have suggested that large scale networks function in the very low frequency range (<1 Hz). However, it is difficult to determine the frequency characteristics of brain networks because both resting-state studies and conventional frequency tagging approaches cannot simultaneously capture multiple large scale networks in controllable cognitive activities. In this preliminary study, we aimed to examine whether large scale networks can be modulated by task-induced low frequency steady-state brain responses (lfSSBRs) in a frequency-specific pattern. In a revised attention network test, the lfSSBRs were evoked in the triple network system and sensory-motor system, indicating that large scale networks can be modulated in a frequency tagging way. Furthermore, the inter- and intranetwork synchronizations as well as coherence were increased at the fundamental frequency and the first harmonic rather than at other frequency bands, indicating a frequency-specific modulation of information communication. However, there was no difference among attention conditions, indicating that lfSSBRs modulate the general attention state much stronger than distinguishing attention conditions. This study provides insights into the advantage and mechanism of lfSSBRs. More importantly, it paves a new way to investigate frequency-specific large scale brain activities.

show abstract

Functional connectivity arises from a slow rhythmic mechanism

Cited by 52 publications

References 75 publications

Noise and non-neuronal contributions to the BOLD signal: applications to and insights from animal studies

Noise and non-neuronal contributions to the BOLD signal: applications to and insights from animal studies

Left inferior parietal lobe engagement in social cognition and language

Low frequency steady-state brain responses modulate large scale functional networks in a frequency-specific means

Contact Info

Product

Resources

About