John and Prichep [19] have proposed a model of specific sequential neuroanatomic targets for anesthetic agents, originating in the reticular activating system and progressing through the mesolimbic system, with closure of thalamic gates and blockade of thalamocortical reverberations and uncoupling of parietal-frontal interactions with loss of consciousness.
The analysis of the communication timing between parietal and frontal nodes of the network helps understanding the sensorimotor cortical delays associated to different functions, such as online control of movement and eye hand coordination, and opens a new perspective to the study of the parieto-frontal interactions.
The notion of affordances as directly perceivable opportunities for action (Gibson 1966) was used to interpret the activity of certain parietal neurons as encoding affordances for grasping in the FARS model of parieto-frontal interactions in grasping (Fagg and Arbib 1998).
For instance, it is plausible that activity in left phonological processing areas (Wise et al. 1999; Crosson et al. 2003; Riecker et al. 2005; Borowsky et al. 2006), such as the supramarginal gyrus, insula, putamen, or preSMA, are involved in gating the frontal interhemispheric interactions.
One possibility is that section of the fornix eliminates a pathway by which interhemispheric frontal-inferotemporal interactions take place, that can support scene learning after crossed unilateral lesions of frontal and inferotemporal cortex eliminate intrahemispheric interaction.
According to the current thinking of the pathophysiology of GSW, there are two prerequisites for the occurrence of this pathological activity: 1) the pathological thalamo- frontal) corthalamo- frontalns and 2) the so-corticalinteractionsepileptogenic stand of the cortex [ictogenicity of the cortex;61]–[64].
What are the distinct contributions of frontal-inferotemporal interaction and fornix to scene learning?
The increased impairment following the addition of Fx provides evidence that the fornix and frontal-inferotemporal interaction make distinct contributions to episodic memory.
Frontal-inferotemporal interaction in visual learning has been suggested to be necessary for the representation of temporally complex events (Browning et al., 2005, 2007).
The additive effect of Fx with FLxIT disconnection argues that fornix and frontal-inferotemporal interaction make contributions to episodic memory that are, at least to some extent, distinct.
Nevertheless, we need to describe the particular element of scene learning carried out by the fornix that is independent of frontal-inferotemporal interaction.
