Investigating cortical networks from vibrotactile stimulation in young adults using independent component analysis: an fMRI study

This study investigated the functional connectivity of neural networks when vibrotactile stimulation is applied to fingertips young adults. Twenty healthy, right-handed subjects were stimulated with whilst being scanned a 3.0 T magnetic resonance imaging scanner. The at 30 Hz – 240 using piezoelectric vibrator attached subjects' bilateral index fingers. data processed independent component analysis (ICA), while temporal configuration and spatial localisation investigated. activation locations tabulated compared regions somatosensory in brain. Using ICA, their neighbouring areas identified one or more these components mapped common significant medial frontal gyrus (MFG), paracentral lobule (PaCL), precentral (PrG), postcentral (PoG), inferior parietal (IPL), cingulate (CgG). Neuromark as reference, six highest correlation values, r>0.5, identified: visual network (VIN), sensorimotor (SMN), cognitive-control (CCN), subcortical (SCN), default-mode (DMN), auditory (AUN). It showed that VIN SMN most activated during stimulation. A comparison volumes peak activations conditions demonstrated changes volume corresponding contributes better understanding underlying mechanisms areas. Other than that, not only this highlighted effect towards brain levels, but it also impact frequencies studies. In future, we suggest exploring change range examining its differences will allow us comprehend aspects connectivity.