Back

Default Mode and Dorsal Attention Network functional connectivity associated with alpha and beta peak frequency in individuals.

Tripathi, V.; Somers, D. C.

2023-02-19 neuroscience
10.1101/2023.02.19.529136 bioRxiv
Show abstract

Alpha- and Beta-frequency oscillatory waves are evident in resting-state electro- and magneto-encephalography (EEG, MEG). Higher peak frequencies for Alpha and Beta are associated with greater cognitive health. Aging slows down the alpha and beta waves which are also affected by mental states, disorders such as ADHD, and sleep deprivation. Functional magnetic resonance imaging (fMRI) of resting-state brain activity reveals anti-correlation of very low frequency (< 0.1 Hz) fluctuations between two distributed cerebral cortical networks, the Dorsal Attention Network (DAN) and the Default Mode Network (DMN). DAN activation is related to attentional demands in extrinsic tasks, whereas DMN is associated with mind wandering, episodic memory retrieval, and intrinsic processing. Prior research has found that higher DAN-DMN anticorrelation is related to greater cognitive and mental health. Here, we investigated whether these two measures of cognitive and mental health are related to each other within individuals. We investigated resting-state Functional Connectivity (rsFC) between the DMN and DAN using fMRI and alpha and beta peaks from MEG using two large datasets (n=89 and n=189). We found that more robust anti-correlations between DMN and DAN regions are related to higher peak frequencies of alpha and beta rhythms in the brain. Subjects with higher alpha peak frequencies also show stronger positive within-network connectivity in both the DMN and DAN networks. Females show stronger correspondence between the two measures as compared to males. This association between two non-invasive cognitive neuroscience modalities adds to the growing literature on the biomarkers of cognitive and mental health. Key pointsO_LIMEG/EEG biomarker of brain health is correlated with rs-fMRI biomarker of brain health C_LIO_LIAlpha and beta peak frequency correlated with DMN-DAN functional connectivity C_LIO_LIStronger within-network connectivity for subjects with a high alpha peak frequency C_LIO_LIFemales have a stronger association between peak frequency and DMN-DAN connectivity C_LI

Matching journals

The top 5 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.