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Baldassarre, A.

Publications and source records attributed to Baldassarre, A..

2 recordsLinked to original sources

Segregation and integration between visuo-spatial attention and semantic memory across large-scale brain networks

Visuo-spatial attention and semantic memory are supported by distinct, largely competing brain networks, yet they are frequently engaged together in daily life. How these networks interact during combined tasks remains unexplored. We conducted a factorial fMRI experiment in which 25 participants performed a novel task requiring visuo-spatial attention, semantic judgment, or both. Covert shifts of attention towards cued lateral location activated bilateral parietal (PEF), frontal eye fields (FEF), and anterior insula. Categorizing a word as referring to a living or non-living entity activated a lateral parietal region (LaP) between the dorsal tip of the angular gyrus and the lateral bank of the intraparietal sulcus, along with the left inferior frontal gyrus (IFG), superior temporal sulcus, inferior temporal lobe and bilateral anterior insula. Notably, the anterior insula was active in both conditions. Dynamic causal modeling showed excitatory-inhibitory parieto-frontal loops driving attention (PEF[->]FEF) and semantic processing (LaP[->]IFG) separately, but in the combined condition frontal-to-parietal feedback became excitatory, reflecting stronger integration, with the anterior insula driving overall connectivity. These findings identify LaP as a novel region supporting semantic processing of linguistic stimuli, and highlight the anterior insula as a key hub integrating attentional and semantic networks under concurrent cognitive demands. HighlightsVisuo-spatial attention and semantic memory rely on segregated parieto-frontal circuits. However, concurrent demands induce a large-scale reconfiguration centered on the left anterior insula, which acts as an integrative hub between the two networks.

neuroscience↗

Intrinsic motor network connectivity predicts corticospinal excitability

State-dependent non-invasive brain stimulation (NIBS) informed by electroencephalography (EEG) has contributed to the understanding of NIBS inter-subject and inter-session variability. While these approaches focused on local EEG characteristics, it is acknowledged that the brain exhibits an intrinsic long-range dynamic organization in networks. This proof-of-concept study explores whether EEG connectivity of the primary motor cortex (M1) in the pre-stimulation period aligns with the motor network (MN) and how MN state affects responses to transcranial magnetic stimulation (TMS) of M1. One thousand suprathreshold TMS pulses were delivered to left M1 in 8 subjects at rest, with simultaneous EEG. Motor evoked potentials (MEPs) were measured from the right hand. Source-space functional connectivity of left M1 to the whole-brain was assessed using the imaginary part of the Phase Locking Value at the frequency of the sensorimotor {micro}-rhythm in a 1-second window before the pulse. Group-level connectivity revealed functional links between left M1, left supplementary motor area, and right M1. Also, pulses delivered at high MN connectivity states result in a greater MEP amplitude compared to low connectivity states. At single-subject level, this relation is more expressed in subjects that feature an overall high cortico-spinal excitability. In conclusion, this study paves the way for MN connectivity based NIBS. HighlightsO_LIEEG pre-stimulus connectivity of left M1 largely corresponds to the motor network C_LIO_LIStronger motor network (MN) connectivity corresponds to greater MEP amplitudes C_LIO_LILinear regression models based on MN connectivity predicts MEP amplitude C_LI

neuroscience↗