Diurnal variations of resting-state fMRI data: A graph-based analysis

Farahani, Farzad V.; Karwowski, Waldemar; D’Esposito, Mark; Betzel, Richard F.; Douglas, Pamela K.; Sobczak, Anna Maria; Bohaterewicz, Bartosz; Marek, Tadeusz; Fąfrowicz, Magdalena

doi:10.1016/j.neuroimage.2022.119246

Cited by 17 publications

(14 citation statements)

References 152 publications

(185 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Sparse-sampling studies investigating the impact of diurnal variation on brain dynamics tested subjects at 2+ timepoints (e.g. one morning and one evening session) and compared brain metrics across these timepoints, demonstrating a time-of-day effect on functional brain metrics (e.g., small-worldness, assortativity, and global signal amplitude; Farahani et al, 2022; Orban et al, 2020; Shannon et al, 2013; Marek et al, 2010). Consistent with our findings, Farahani et al (2022) found that the ventral attention and visual networks are enhanced during morning sessions compared to evening sessions.…”

Section: Discussionmentioning

confidence: 99%

“…one morning and one evening session) and compared brain metrics across these timepoints, demonstrating a time-of-day effect on functional brain metrics (e.g., small-worldness, assortativity, and global signal amplitude; Farahani et al, 2022; Orban et al, 2020; Shannon et al, 2013; Marek et al, 2010). Consistent with our findings, Farahani et al (2022) found that the ventral attention and visual networks are enhanced during morning sessions compared to evening sessions. Our dense-sampling study, which tracks dynamic changes in the brain over time with super-high temporal precision, sheds further light on these findings by probing a specific biological driver of time-of-day effects in network connectivity: namely, diurnal steroid hormone fluctuations.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Diurnal fluctuations in steroid hormones tied to variation in intrinsic functional connectivity in a densely sampled male

Grotzinger,

Pritschet,

Shapturenka

et al. 2023

Preprint

View full text Add to dashboard Cite

Most of mammalian physiology is under the control of biological rhythms, including the endocrine system with time-varying hormone secretion. Precision neuroimaging studies provide unique insights into the means through which our endocrine system regulates dynamic properties of the human brain. Recently, we established estrogen's ability to drive widespread patterns of connectivity and enhance the functional efficiency of large-scale brain networks in a woman sampled every 24h across 30 consecutive days, capturing a complete menstrual cycle. Steroid hormone production also follows a pronounced sinusoidal pattern, with a peak in testosterone between 6-7am and nadir between 7-8pm. To capture the brain's response to diurnal changes in hormone production, we carried out a companion precision imaging study of a healthy adult man who completed MRI and venipuncture every 12-24 hours across 30 consecutive days. Results confirmed robust diurnal fluctuations in testosterone, cortisol, and estradiol. Standardized regression analyses revealed predominantly positive associations between testosterone, cortisol, and estradiol concentrations and whole-brain patterns of coherence. In particular, functional connectivity in Dorsal Attention and Salience/Ventral Attention Networks were coupled with diurnally fluctuating hormones. Further, comparing dense-sampling datasets between a man and naturally-cycling woman revealed that fluctuations in sex hormones are tied to patterns of whole-brain coherence to a comparable degree in both sexes. Together, these findings enhance our understanding of steroid hormones as rapid neuromodulators and provide evidence that diurnal changes in steroid hormones are tied to patterns of whole-brain functional connectivity.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Diurnal fluctuations in steroid hormones tied to variation in intrinsic functional connectivity in a densely sampled male

Grotzinger,

Pritschet,

Shapturenka

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…Local graph theory measures provide information regarding the properties of individual nodes, including degree and betweenness centrality and nodal efficiency [ 131 ]. These measures can be used to quantify the relative importance of a node within the overall network [ 44 ].…”

Section: Methodsmentioning

confidence: 99%

“…Nodal efficiency measures the ability of information propagation between a node and the remaining nodes in the network [ 133 ]. A node with high centrality is known as a network hub [ 134 ] and could be classified into different groups of a connector or provincial [ 131 ].…”

Section: Methodsmentioning

confidence: 99%

Modeling Brain Functional Connectivity Patterns during an Isometric Arm Force Exertion Task at Different Levels of Perceived Exertion: A Graph Theoretical Approach

et al. 2022

Self Cite

View full text Add to dashboard Cite

The perception of physical exertion is the cognitive sensation of work demands associated with voluntary muscular actions. Measurements of exerted force are crucial for avoiding the risk of overexertion and understanding human physical capability. For this purpose, various physiological measures have been used; however, the state-of-the-art in-force exertion evaluation lacks assessments of underlying neurophysiological signals. The current study applied a graph theoretical approach to investigate the topological changes in the functional brain network induced by predefined force exertion levels for twelve female participants during an isometric arm task and rated their perceived physical comfort levels. The functional connectivity under predefined force exertion levels was assessed using the coherence method for 84 anatomical brain regions of interest at the electroencephalogram (EEG) source level. Then, graph measures were calculated to quantify the network topology for two frequency bands. The results showed that high-level force exertions are associated with brain networks characterized by more significant clustering coefficients (6%), greater modularity (5%), higher global efficiency (9%), and less distance synchronization (25%) under alpha coherence. This study on the neurophysiological basis of physical exertions with various force levels suggests that brain regions communicate and cooperate higher when muscle force exertions increase to meet the demands of physically challenging tasks.

show abstract

“…Previous resting-state fMRI studies revealed that brain functional architecture also changes dynamically according to the time-of-day 40 . Accordingly, the other aim of the present study is to determine if there are diurnal changes in the dynamic of working memory processes.…”

Section: Introductionmentioning

confidence: 99%

Dynamics of working memory process revealed by independent component analysis in an fMRI study

Fąfrowicz

Ceglarek

Olszewska

et al. 2023

Sci Rep

Self Cite

View full text Add to dashboard Cite

Human memory is prone to errors in many everyday activities but also when cultivating hobbies such as traveling and/or learning a new language. For instance, while visiting foreign countries, people erroneously recall foreign language words that are meaningless to them. Our research simulated such errors in a modified Deese-Roediger-McDermott paradigm for short-term memory with phonologically related stimuli aimed at uncovering behavioral and neuronal indices of false memory formation with regard to time-of-day, a variable known to influence memory. Fifty-eight participants were tested in a magnetic resonance (MR) scanner twice. The results of an Independent Component Analysis revealed encoding-related activity of the medial visual network preceding correct recognition of positive probes and correct rejection of lure probes. The engagement of this network preceding false alarms was not observed. We also explored if diurnal rhythmicity influences working memory processes. Diurnal differences were seen in the default mode network and the medial visual network with lower deactivation in the evening hours. The GLM results showed greater activation of the right lingual gyrus, part of the visual cortex and the left cerebellum in the evening. The study offers new insight into the mechanisms associated with false memories, suggesting that deficient engagement of the medial visual network during the memorization phase of a task results in short-term memory distortions. The results shed new light on the dynamics of working memory processes by taking into account the effect of time-of-day on memory performance.

show abstract

Diurnal variations of resting-state fMRI data: A graph-based analysis

Cited by 17 publications

References 152 publications

Diurnal fluctuations in steroid hormones tied to variation in intrinsic functional connectivity in a densely sampled male

Diurnal fluctuations in steroid hormones tied to variation in intrinsic functional connectivity in a densely sampled male

Modeling Brain Functional Connectivity Patterns during an Isometric Arm Force Exertion Task at Different Levels of Perceived Exertion: A Graph Theoretical Approach

Dynamics of working memory process revealed by independent component analysis in an fMRI study

Contact Info

Product

Resources

About