Details

Autor(en) / Beteiligte

• Tejavibulya, Link
• Peterson, Hannah
• Greene, Abigail
• Gao, Siyuan
• Rolison, Max
• Noble, Stephanie
• Scheinost, Dustin

Titel

Large-scale differences in functional organization of left- and right-handed individuals using whole-brain, data-driven analysis of connectivity

Ist Teil von

• NeuroImage (Orlando, Fla.), 2022-05, Vol.252, p.119040-119040, Article 119040

Ort / Verlag

United States: Elsevier Inc

Erscheinungsjahr

2022

Quelle

EZB-FREE-00999 freely available EZB journals

Beschreibungen/Notizen

• Handedness influences differences in lateralization of language areas as well as dominance of motor and somatosensory cortices. However, differences in whole-brain functional connectivity (i.e., functional connectomes) due to handedness have been relatively understudied beyond pre-specified networks of interest. Here, we compared functional connectomes of left- and right-handed individuals at the whole brain level. We explored differences in functional connectivity of previously established regions of interest, and showed differences between primarily left- and primarily right-handed individuals in the motor, somatosensory, and language areas using functional connectivity. We then proceeded to investigate these differences in the whole brain and found that the functional connectivity of left- and right-handed individuals are not specific to networks of interest, but extend across every region of the brain. In particular, we found that connections between and within the cerebellum show distinct patterns of connectivity. To put these effects into context, we show that the effect sizes associated with handedness differences account for a similar amount of individual differences in the connectome as sex differences. Together these results shed light on regions of the brain beyond those traditionally explored that contribute to differences in the functional organization of left- and right-handed individuals and underscore that handedness effects are neurobiologically meaningful in addition to being statistically significant.