B. THE NEURAL CORRELATES OF FLAVOR EXPERIENCE
1. BASIC NOTIONS
As the visual system is the most researched among the sensory systems, and has been well characterized in terms of structure-function relationships, most of the aforementioned concepts have been derived from vision science. No similar data is available for the orolfactory senses, though, as outlined below, there is no reason why the neural correlates of consciousness could not also be investigated there.
It should be kept in mind that the olfactory and taste system (and more globally the OFC, Insula, temporal pole, cingulate cortex, rhinal-cortex and parahippocampal region) can be considered to be part of the paralimbic (mesocortical) areas, nested between limbic (pyriform cortex, amygdala, hippocampus) and high-order multimodal association cortex (see fig -6 and ch 1.11 in Mesulam (2000)
). This area is considered to be involved with memory and learning, channeling emotions and affiliative behaviors, linking visceral state, immune response and endocrine balance (homeostatically) to mental state and with the perception of taste, smell and pain (Mesulam 2000
). These areas are much more closely related to the internal milieu, mediated via the hypothalamus, than the unimodal visual, auditory and motor association cortices which are nested between high-order multimodal association cortex and their idiotypic primary sensory cortices which are related to deriving information from and manipulating the external milieu (Mesulam 2000
One task then is to extrapolate the framework to the orolfactory systems, under the explicit assumption that the derivations based on the visual system will apply. The forward sweep (the initial processing stage, which is insufficient, though necessary, for conscious experience) can readily be seen as consisting of the sequential activation of the neuraxis within each of the “classical” sensory systems (for example for gustatory stimuli: NTS → VPMpc → AI/FO→OFC; for olfactory stimuli: OB → Pyr→AI/FO→OFC), analogous to that of the ventral visual system (RGCs→LgN→V1 → V2 → V4 → IT) ().
At the next stage these downstream areas activate (multimodal) association cortex from which they will in turn receive (diffuse) backprojections allowing for sustained activation to develop in the network (note that within this period also horizontal and early backprojections may have become active). Which cortical areas might provide such backprojections to the orolfactory system? This is analogous to the question of which areas provide the feedback putatively needed for the aforementioned reverb trail in IT.
One answer may be that it is the general “global workspace”
of highly interconnected multimodal association cortices (e.g. prefrontal, parietal, temporal and cingulate; (Dehaene, Sergent et al. 2003
); see also in (Mesulam 2000
), and in (Mesulam 1998
)) that provides this feedback toward any
sensory system. Thus, activation of AI/FO would activate excitatory neurons with long-distance axons which would project back onto AI/FO as well as to other high-level areas resulting in global brain scale states of activity (Dehaene, Sergent et al. 2003
). Though this ultimately may be true (as these higher association areas are highly interconnected), it will nevertheless be important to explore in which order such multimodal association cortices will become involved. In sections 2-5 these concepts are applied to the gustatory and olfactory system.
Fig. 2 Top: The distribution of correlations between activity of single-units evoked by oral stimuli and behavioral acceptance ratings of these stimuli by macaque monkeys for three neural substrates. The distribution of OFC neurons, in contrast to that of neurons (more ...) 2. THE HOMEOSTATIC INTEROCEPTIVE SYSTEM
Roughly consistent with this framework, Damasio (1994)
has proposed that awareness of the body-self is mediated via recursive meta-representations of homeostatic feelings, as delineated in his somatic-marker hypothesis. It is currently thought that the insula-OFC network represents such interoceptive bodily feelings as pain, temperature hunger, thirst and is necessary for subjective feelings (Craig 2002
; Craig 2004
). In the following it is argued that taste is associated with interoception, linking it with Damasio's hypothesis and recent imaging studies.
The existence of a cortical system involved with homeostatic interoception has been proposed (Critchley, Mathias et al. 2001
; Craig 2002
; Craig 2003
; Critchley, Wiens et al. 2004
). On one hand this was based on anatomical findings of lamina-1 dorsal horn thalamocortical projections, thought to mediate pain, metaboreception, itch and temperature (Craig 2002
). On the other hand, human imaging studies consistently showed activation of especially the anterior insula in feelings of the body, including thirst, pain, skin temperature and sexual arousal (Critchley, Wiens et al. 2004
). They argued that these sensations are not so much related to somatosensation (and hence mediated via S1, S2), but form a separate system involving homeostasis and interoception (e.g. nociceptive and thermal input related to maintaining proper body function). The identified human neuraxis (, “visceroception”) for fine parasympathetic afferents involves NTS→VPMpc→Id→Ia→lIa, and for fine sympathetic afferents Lamina 1→VMpo→Id→Ia→rIa→OFC (lIa: lateral Ia; rIa: rostral Ia) (Craig 2002
). Lamina 1 also projects to NTS, and both lamina 1 and NTS project to VPMpc, in part via PBN. VMpo (posterior part of the ventromedial thalamic nucleus) is rostrally contiguous with the VPMpc (the parvicellular part of the ventroposteromedial nucleus, also known as the basal part of the ventromedial nucleus, VMb)(Craig 2002
). This neural system is very similar to that of the gustatory system, especially as recently proposed by Sewards and Sewards (2001)
, who propose NTS→VPMpc→gI→dI→aI (). The gustatory Ia is located just anterior to the Ia involving the homeostatic interoceptive system (Craig 2002
). Thus, the gustatory and homeostatic interoceptive systems run largely parallel in close spatial association to each other from the NTS onward.
This leads us to propose that the homeostatic interoceptive system consists of two major divisions: an oral part, and non-oral part.
The oral division of the homeostatic interoceptive system (oHIS
) is proposed to represent the same modalities as the non-oral division (noHIS
), with as a main difference (besides that of location) that the oHIS further contains an expanded representation of chemosensory sensitivity related to papillary oral input. Note that the idea of the gustatory system as being part of a larger multimodal (gustatory, cutaneous, nociceptive and visceral) system was also proposed by Katz et al. (Katz, Nicolelis et al. 2000
) in rodents and also by Scott and colleagues (Scott and Mark 1986
), but has not been previously associated with HIS. Arguments, in addition to the strong neuroanatomical similarities, supporting this proposal are as follows.
It is known that the primate gustatory system is not unimodal
: at every level of its neuraxis (from cranial nerves to Insula and OFC) that has been tested it has been found that taste sensitive neurons also show sensitivity to touch and temperature (chorda tympani: (Aato, Ogawa et al. 1975
); NTS: none tested; VPMpc: (Pritchard, Hamilton et al. 1989
); AI/FO: (Scott and Plata-Salaman 1999
; Verhagen, Kadohisa et al. 2004
); OFC: (Kadohisa, Rolls et al. 2005
); Ag: (Kadohisa, Rolls et al. 2005
)). This also holds for rodents (chorda tympani: (Ogawa, Sato et al. 1968
; Matsuo, Inoue et al. 1995
; Shimatani, Grabauskiene et al. 2002
); NTS: (Matsuo, Shimizu et al. 1984
; Ogawa, Hayama et al. 1988
) ; VPMpc: (Verhagen, Giza et al. 2003
); GC: (Yamamoto, Yuyama et al. 1981
; Kosar, Grill et al. 1986
; Yamamoto, Matsuo et al. 1989
); (for overview see Table 2 in (Verhagen, Giza et al. 2003
)). The reasons for this heteromodality make considerable sense in the context of HIS.
Virtually all imaging studies
related to these modalities on the skin show activation of at least several of the areas of I, OFC, ACC and Ag (Francis, Rolls et al. 1999
; Craig, Chen et al. 2000
; Craig 2003
). This is very similar to imaging studies in taste (O'Doherty, Rolls et al. 1999
; Small, Zald et al. 1999
; O'Doherty, Rolls et al. 2001
; De Araujo, Kringelbach et al. 2003
; de Araujo, Rolls et al. 2003
; Small, Gregory et al. 2003
) (for a metaanalsyis see (Verhagen and Engelen 2006
Further, as in the taste system (Norgren 1988
), Craig notes that for sub-primates the PBN is an obligatory relay
). Thus, evolutionarily these systems (OHIS and noHIS) developed in parallel, and primates rely more on cortical HIS than sub-primates ((Craig 2003
); see (Satinoff 1983
) for a related conceptual issue).
Both systems are strongly involved with brainstem homeostatic nuclei (NTS, PBN). In noHIS, the sympathetic Lamina1 division provides the basis for the somato-autonomic reflex arcs at spinal, medullary and mesencephalic levels (see in (Craig 2002
)). These exist in the gustatory system as well, primarily mediated via NTS→DMV→efferent vagus nerve to stomach, intestine, liver and pancreas, in the form of parasympathetic cephalic phase reflexes
); DMV is dorsal motor nucleus of the vagus). In mammals, sensory exposure to food and pure chemicals without ingestions leads to an early miniature version of post-prandrial release of various digestive and metabolic components like saliva, gastric acid, pancreatic enzymes and insulin. This response is considered to be preparatory and to adaptively affect both metabolism and behavior (Teff 1996
). Thus, in humans, a 5-minute oral exposure to a sandwich, without swallowing, results in a 33% lower postprandrial glucose levels (i.v. injected glucose) (Teff 1996
). Further, just sight and smell of a food can lead to increased glucose clearance. The human salivary and gastric response is correlated with the perceived pleasantness of foods and foods with high hedonic value will be metabolized more rapidly (Teff 1996
). Interestingly, in humans cephalic phase reflexes to simple stimuli (e.g. a glucose solution) are much less pronounced than in rodents, whereas responses become more robust as the number of involved modalities increase (e.g. smell, taste, vision (Feldman and Richardson 1986
)) or when presented with whole foods (Teff 1996
). Thus flavor appears to play a special role in evoking cephalic phase responses in humans, and the primate taste system is as directly involved with homeostatic regulation as the noHIS.
Last, the sense of taste itself
is clearly related to homeostatic interoception. It provides the sensory link between milieu exterieur
by allowing informed decisions as to what food is appropriate for the body to ingest and absorb (Scott and Verhagen 2000
). These anatomical, functional, electrophysiological and conceptual considerations lead us to suggest the oHIS and noHIS concept.
It should be noted that the anatomical relationship between noHIS and the olfactory system is less evident (, at least sub-cortically), and hence there is no such direct relevance to the olfactory system in Damasio's somatic marker hypothesis or the recent neuroimaging data on interoceptive bodily feelings.
3. THE PERIRHINAL CORTEX, AFFECT AND OBJECT AWARENESS
The notion of the taste system as part of HIS suggests that awareness of taste may be mediated by means as envisioned by Damasio, but does not provide insight into how the neural structures of this system (or those associated with olfaction) are involved with bringing about consciousness. Below the concept of object versus affect awareness is introduced, after which the neural structures and their interactions are discussed in context.
I propose that the Insula-Perirhinal system functions as an orolfactory object recognition
system, whereas the Insula-OFC system as an orolfactory affective system
. This may suggest that conscious experience of these two aspects of food perception may involve overlapping but also discrete cortical areas. The notion of two separate systems for “object” (quality and intensity) identification versus affective evaluation has previously been suggested by Small et al. (Small, Gregory et al. 2003
), Scott and Rolls (in gustation: AI/FO and OFC, resp.; (Scott, Yan et al. 1995
)) and Anderson et al. (in olfaction: OFC and amygdala, resp.; (Anderson, Christoff et al. 2003
), yet the rhinal cortex played no role there).
With respect to gustatory awareness, such division between sensory and hedonic aspects
has previously been suggested by Aurell (in (Sewards 2004
)). Analogous to this scheme, Sewards (2004)
suggested different neural structures associated with sensory and hedonic awareness than proposed here. He suggests that such functional divisions, based largely on rodents, can be made at any level within the taste system, including the insular cortex, while largely ignoring the overwhelming evidence of involvement of OFC in affective processes (as in reward devaluation or association) and lack of effect of reward devaluation in lower neural areas (Yaxley, Rolls et al. 1985
; Rolls, Scott et al. 1988
; Scott, Yan et al. 1995
). It has long before been proposed that rodents and primates differ substantially in this respect, in that indeed in rodent taste quality and affect are encoded in parallel, whereas they are encoded serially in primates (quality in AI/FO, affect in OFC; (Scott and Plata-Salaman 1999
)). I hence take Sewards proposal to only refer to sub-primates.
has provided a similar object-based
approach to food perception. He argues that the survival value of the orolfactory system lies in its ability to correctly identify foods by jointly identifying its nutrients (gustatory: e.g. salt, carbohydrates, proteins), the food-source or food-state (retronasal olfactory: e.g. volatiles perceived as floral, peanut butter, rotten; texture: thick, lumpy, hard, slimy), and toxins (e.g. taste: alkaloids; chemesthesis: capsaicin). In relation to retronasal aromas as being perceptually associated with the oral cavity/taste, Prescott mentions Gibson's ecological view of perception, which entails that the physiological origins of sensations are less important than that the sensations can be used for object identification. Thus, the identification of an intraoral food relates to the integrated perception of all concurrently stimulated modalities available.
This object-affect dichotomy is strengthened by a novel analysis of the distribution of the correlations
between the mean single-unit responses to a large (n=16-25) array of oral stimuli of neurons in AI/FO (n=41), clOFC (n=53) and Ag (n=44) in awake rhesus monkeys and the individual acceptability ratings (method described and neurally validated in (Rolls, Sienkiewicz et al. 1989
)) of the monkeys these neurons were recorded from of the same stimuli (, top; new analyses based on data from (Rolls, Verhagen et al. 2003
; Kadohisa, Rolls et al. 2004
; Verhagen, Kadohisa et al. 2004
; Kadohisa, Rolls et al. 2005
); analyzed with SPSS V12, SPSS Inc.). The Pearson correlation coefficient between the neural and behavioral responses across the stimulus array were computed for each neuron. The assumption is that if neural encoding involves affective processing, such is reflected in a more negative or positive correlation between neural responses and behavioral measures of hedonic evaluation. As expected, a larger fraction of the clOFC population had more positive and negative correlations than seen in AI/FO and Ag (, top). The distribution for the clOFC appears bimodal, with peaks at correlations between −0.6 and −0.4 and between 0.4 and 0.6, the latter indicating higher neural responses being associated with higher acceptability ratings. The distribution of AI/FO and Ag neurons peaked between −0.2 and 0.4. Indeed, the proportion of variance explained (r2
) was higher in clOFC (0.16±0.13, mean±sd) than in AI/FO (0.07±0.08) and Ag (0.06±0.08) as evaluated with a 1-sided t-test (p<10−5
, respectively), but did not differ between AI/FO and Ag (p=0.201). In line with this, nearly half (39.6%) the population of clOFC neurons had significant (p<0.05) correlations between their individual responses and the acceptability ratings, whereas this was only 12.1% in AI/FO and 11.4% in Ag. For many clOFC neurons (20.8%) this correlation was highly significant (p<0.01) and the cumulative histogram of their p-values was consistently higher for clOFC than for AI/FO and Ag, as indicated in (bottom). For example, 58.5% of clOFC neurons had correlations with associated p-values smaller than 0.1, while this was only 13.6% for Ag and 22.0% for AI/FO. Thus, consistent with our proposal, activity of clOFC neurons to oral stimuli is often related to the hedonic evaluation of these stimuli by rhesus macaques, whereas this relation holds to a much lower extent for neurons in AI/FO and Ag. It should be noted that even though such strong associations were present in clOFC, the hedonic ratings explained on average 16±13% of the variance in OFC (maximally 42%), suggesting that hedonic evaluation is not the sole neural correlate of clOFC activity.
This notion is strengthened by a population-analysis based on the same data (see and ). The representation of the stimuli in each area (AI/FO, amygdala and OFC) for each monkey (BO and BK) was quantified using multi-dimensional scaling in 2-dimensions (all explaining >90% of the stimulus correlations' variance, except for OFC in BK (77%)). The relation between this abstraction and the monkey's behavioral acceptability of the stimuli, stimulus viscosity and stimulus temperature, were evaluated by rotating the MDS solutions and computing the Pearson correlation coefficient between the neww stimulus location and acceptibility rating in 5° steps in Excel. It should be noted that this is a valid approach as an MDS solution is rotation-invariant. The associated proportion of variance explained (r2) is indicated in as a function of angle of MDS rotation. indicates the maximum r2 obtained by rotation for each of the factors, brain areas and subjects, as well as the associated angle, and F- and p-value of their regression analysis. Consistent with the above analysis based on these same individual neurons, this population analysis suggests that the relation between population-encoding and hedonic value of stimuli is strongest in the OFC for both monkeys (proportion of variance explained is ~50%), intermediate for I (r2=0.201) and, again, weakest in Ag (<10%). This analysis further suggests that the representation of hedonic value and viscosity (where correlations are significant) are most orthagonalized at the level of the OFC: the difference between the angles at which their correlations are maximal are 16° in AI/FO (140°-124°), and 62° (monkey BO: 73°-11°) and 34° (monkey BK: 104°-70°) in OFC ().
Table 1 The maximum proportion of variance (r2) of MDS stimulus location for three brain areas (Ins=insular cortex/frontal operculum, Ag=amygdala and OFC= orbitofrontal cortex) in two monkeys (BO and BK) explained by the three factors of behavioral oral stimulus (more ...)
Fig. 3 To complement the individual neuronal-level analysis of , this figure provides a novel population-level analysis between the locations of stimuli on a 2-dimensional scale (MDS, a means to visualize neural population representation of stimuli; Systat (more ...)
To validate this novel method of analysis, I randomly assigned the acceptance ratings and viscosity levels to the stimuli and performed the same maximalization-of-r2-by-rotation analysis 20 times for each monkey, area and factor. Note that for 24 stimuli the number of permutations of randomly assigned values is 6.2*1023, and it is hence exceedingly unlikely that the values are assigned to the stimuli they actually belong to. This analysis confirmed that the reported maximum r2 values are highly unlikely to occur by chance: the mean (±sd) of the maximum r2 between randomly reshuffled hedonic ratings and rotated MDS of insular neurons in the insula in BO was 0.074±0.056, whereas the maximum r2 for the actual ratings (0.201, see ) was 2.3 sds higher (p<0.012). For the OFC the randomized control analysis revealed a mean r2 of 0.099±0.105, where the actual data (r2=0.456) was 3.4 sds (p<0.001) above control. In the Ag of OB the very high r2 for viscosity (0.834) was 9.8 sds (p<<0.001) above control (0.090±0.076). It hence is clear that the analysis is unlikely to suggest strong relationships by chance.
In conclusion, these analyses substantiate the notion that cortical and subcortical stuctures in primates are to different degrees involved with representing affective information.
Sewards and Sewards (2001)
suggest that the perirhinal cortex is a final common pathway for the visual, auditory and somatosensory systems, and that this may hold for the gustatory system as well. They present five arguments why the perirhinal cortex is the “terminus” of the taste system
. First, the end of the dorsal visual system (TE), the somatosensory posterior insular cortex, the auditory superior temporal gyrus, and the gustatory posterior agranular insular cortex are all adjacent to the perirhinal cortex. Second, the insular secondary and tertiary taste cortices as proposed above project to perirhinal cortex. Third, it is the highest order area for the visual, somatosensory and auditory systems. Fourth, lesions to this area result in taste recognition deficits. Indeed, the perirhinal cortex is generally believed to be important for object recognition in all other sensory modalities, as well as cross-modal memory of objects and events (see below). Fifth, parahippocampal gyrus (near the perirhinal cortex, in IT) has been shown to be activated in human imaging studies (Sewards and Sewards 2001
Our cluster analysis-based meta-analysis of odor and taste neuroimaging (Verhagen and Engelen 2006
) also suggests activation of PrC. The PrC (BA 35 and 36) is located around x= ±20 mm (range ±17 to ±25), y= −20 mm (−10 to −40), and z= −12 mm (−8 to −32) according to the map by Talairach and Tournoux (1988)
. These coordinates overlap with right cluster 10 (18.7, −5.4, −13.9; x-, y- and z-coordinates, respectively) and left cluster 5 (−21.4, −10.3, −7.1; Table 2B in (Verhagen and Engelen 2006
)). Talairach Daemon found BA 35 11 times (5 taste and 6 odor; from 8 studies) and BA 36 7 times (5 taste and 2 odor, 4 activations being the same as for BA 35; from 7 studies) when searching within an 11mm cube of the peak coordinates of the 296 individual activations.
Limiting the search to a 5mm cube resulted in four identifications of BA 35 (taste study 2: 19, −4, −23; odor study 7: −22, −18.4, −14.9; odor study 11: 18, −12, −21 and −21, −15, −15; x-, y- and z-coordinates, respectively; see in (Verhagen and Engelen 2006
)) but never BA 36. According to the map by Talairach and Tournoux (1988)
, each of these four activations was located in BA 28 (ErC), although the authors refer to it as amygdala and hippocampus, which is functionally and spatially closely associated with PrC and hippocampus (Verhagen and Engelen 2006
). Thus, within the typical range of variation of neuroimaging studies (see (Verhagen and Engelen 2006
)) PrC is not an unlikely candidate to be activated by odor and/or taste stimuli. It will be of considerable interest to further investigate the involvement of PrC and ErC in orolfactory neural processes.
Interestingly, the tertiary gustatory cortex (Ia) is known to have reciprocal connections
with the perirhinal cortex (ref 13,37,95 in (Sewards and Sewards 2001
)). Thus, the perirhinal cortex may provide the feedback to Ia
which I suggest to be necessary for conscious experience/recognition of food as objects in a multimodal fashion, and is part of the temporal cortex that has been suggested to be one of the four multimodal cortices necessary for conscious experience via feedback (Dehaene, Sergent et al. 2003
Evidence has been presented in several reviews that the PrC
, located at the ventromedial surface of the temporal lobe, is important in object recognition (Murray and Bussey 1999
; Murray and Richmond 2001
). The PrC represents an object's many (multimodal) attributes, while recognizing that it remains an entity. It has reciprocal connections with a vast number of cortical areas: insular cortex, cingulate cortex, OFC, amygdala, STS (auditory), TE and TEO (vision), as well as enthorhinal cortex (which receives strong pyriform input, as well as olfactory bulb input), hippocampal formation, parahippocampal complex (see ref 13-15 in (Murray and Richmond 2001
)), providing the necessary connections for such multimodal input (and output). Indeed, the PrC associates different views and non-visual attributes (like touch or smell) mediating object identification. For example, the PrC has been found to be necessary for crossmodal association memory, in that lesioned monkeys cannot choose a visible object first sampled by touch (Goulet and Murray 2001
). Monkeys with rhinal cortical lesions are unable to select visible objects that were selectively and arbitrarily assigned to either a peanut or a sultana which three monkeys orally sampled in full darkness (Parker and Gaffan 1998
). Even after 500 trials the mean error rate was 232 (not above chance level), without a tendency to improve. Although the authors argue that the deficit was due to a loss of flavor-vision association memory, they could not rule out the possibility of “flavor blindness”, as they didn't test flavor discrimination abilities (which is what our model would predict). Deficits in a food preference task were not apparent in one of the monkeys (and in none of those with specific perirhinal lesions in the study of Gaffan (1994)
), despite inability to perform the association task. This too is consistent with our model, in that food preference is a function of relative hedonic value of foods, encoded in the affective system (the neural correlates have been found in the OFC (Schultz, Tremblay et al. 2000
)), and hence predicted to be dissociable from the identification (Ia-PrC) system. Indeed, the PrC has no role in object-reward associations, in that it is not necessary for reward devaluations (Thornton, Malkova et al. 1998
), whereas the OFC and amygdala are crucially involved in such associations (ref 41, 42 in (Murray and Richmond 2001
)). The PrC has further been shown to be important for discriminating visual features, and hence perception, in humans and monkeys (ref 29, 33, 34 in (Murray and Richmond 2001
)). These findings lend further support for the neural basis of orolfaction model proposed here, in that the PrC is critically involved with multimodal (food) object representations, in a Gestalt-like fashion (Murray and Bussey 1999
), and that is not related to (food) object reward associations (which I propose is mediated by the aI-OFC-Ag-ACC network, see also (Kringelbach 2004
)). This hypothesis could be investigated with cell-body-specific lesions of the PrC on orolfactory food discrimination. It should be noted however that direct, specific evidence for a role for PrC in flavor processing remains absent.
In parallel, the anterior cingulate cortex, another multimodal cortex tentatively involved with such feedback, has dense reciprocal connections with the OFC (notably the medial OFC). I speculate that these areas may be necessary for the conscious perception of the affect-awareness of food. These ideas are represented in .
Fig. 4 Proposed model of neural structures involved with the conscious experience of food. I propose that two different, but overlapping, large-scale networks are involved for 1) food object recognition awareness (Ia, PrC and Ag) and 2) food reward value awareness (more ...)
The amygdala and OFC
, which have extensive reciprocal connections, may also be critically involved with affect awareness. Indeed, all areas speculated here to be involved with conscious experience via reverberation are considered by Mesulam (2000)
to be “neural epicenters” in his model of large-scale neural networks. Such epicenters (or “transmodal areas”) which are higher multimodal association areas, are reciprocally connected to each other, receive reciprocal connections from many more lower order cortical areas and ultimately from the thalamus. Combinations of epicenters may be dynamically formed in relation to the cognitive task at hand (for example the limbic large scale network for memory and emotion, consisting of the hippocampo-enthorhinal complex and amygdala as two interconnected epicenters, receiving input from paralimbic areas, the hypothalamus and limbic thalamus). Mesulam (2000)
suggests that the epicenters are also crucially involved with consciousness, which, given that they may all be reciprocally interconnected, is similar to Dehaene's global work space model mentioned earlier.
However, the right anterior insula (rAI), part of noHIS,
has recently been implicated in representing the visceral self (Craig 2002
; Craig 2004
; Critchley, Wiens et al. 2004
) and as part of the I-OFC-ACC system, which is the core of the somatic marker theory (Damasio 1994
), in explicit subjective awareness and in emotion. For example, the rAI becomes activated during various emotions as anger, happiness (Critchley, Wiens et al. 2004
), and disgust (Wicker, Keysers et al. 2003
). I argue that the same may hold for the gustatory system, in that the oral part of the aI (also with a bias towards the right hemisphere, see (Verhagen and Engelen 2006
)) is similarly involved with affective awareness of food, which is based on the above considerations of the gustatory system being effectively the oral part of HIS. Human imaging studies provide evidence for this as well. For example, Small et al. reported effects of eating chocolate to satiety on the insula and OFC in a human imaging study (Small, Zatorre et al. 2001
). Thus it seems plausible that AI is also involved with orolfactory affect in humans
, though to a lesser extent than OFC. Furthermore, intraprimate species differences should not be excluded, and have been found with respect to prevalence of spindle cells which exclusively occur in these areas (see ref 22 in (Craig 2004
)). This hypothesis is a modification of the exclusive involvement of the OFC among cortical areas in orolfactory affect as proposed by Rolls (Rolls 1999
) and has been incorporated in .
In conclusion, I present evidence that the neural circuitry involved with object versus affect awareness of flavor is both overlapping and distinct.
4. ESSENTIAL NODES
With respect to the subsequent stage in the framework of consciousness, we may ask which neural substrates in the orolfactory systems could act as the tentative essential nodes
? In the visual, auditory and somatosensory system these may consist of cortical modules (each with coherent featural sensitivity; (Mountcastle 1997
)) showing sustained activity, each within a cortical area with clearly defined properties needed for explicit awareness of that property (e.g. V4 for color vision, TE and TEO for complex configural object representation).
With respect to the proposed neural structures involved with food object awareness
, such modularity and larger scale cortical functional divisions do not appear to exist at higher cortical levels for the orolfactory systems (Ia-PrC for orolfactory object awareness and Ia/OFC for orolfactory affect awareness). Scott and Plata-Salaman (1999)
have found no clear evidence for modularity in the macaque AI/FO, in terms of similarity in gustatory tuning of neurons located along recording tracts orthogonal to the cortical surface. In contrast, a recent optical imaging study of rat gustatory cortex has indicated an anterior-posterior map
reflecting responsiveness to sucrose or NaCl (Yoshimura, Sugai et al. 2004
). Further, a recent human neuroimaging study of the insular/opercular cortex has suggested gustatory chemotopy (Schoenfeld, Neuer et al. 2004
). Differential, yet overlapping, haemodynamic activations to five prototypical tastants of same intensity of this area were stable between imaging sessions within subjects, but varied between subjects (Schoenfeld, Neuer et al. 2004
). This may indicate that the preferential reverberation between PrC and a subregion within Ia may consistently be related to awareness of a salty food in one subject, but to another taste in another subject. Alternatively, in absence of clear functional maps for gustation and oral somatosensation in Ia, these nodes may consist of ensembles of neurons with similar tuning profiles that do not show clear spatial (e.g. modular) organization.
The only modularity found thus far in the orolfactory systems is that of the olfactory bulb with its glomerular structure
((Bozza, McGann et al. 2004
), three synapses upstream from the Ia). Thus, for olfaction essential nodes may consist of (groups of) glomeruli, and indeed reciprocal connections exist between PFC and OB
in rat and it has been found that orbitofrontal regions can activate and inhibit the OB in rat (Cinellar, Ferreyra-Moyano et al. 1987
). Backprojections from the anterior piriform cortex (aPC) to the OB
have also been identified in rodents (Haberly 2001
). Based on this evidence, Haberly states that “the exceedingly large number of backprojecting pyramidal cell axons from aPC (much larger than in the LOT) suggests that, despite its inhibitory action on mitral tufted cells, this system is intimately involved in information processing” (Haberly 2001
). In contrast to the OB, no discrete spatial odorant activations have been found in the PC in rats using c-fos technique (Illig and Haberly 2003
), nor using 2-deoxyglucose and optical imaging in rat PC (Cattarelli, Astic et al. 1988
). A genetic tracer study, employing single olfactory receptor clones, reported well-defined patches of labeled neurons in the aPC (Zou, Horowitz et al. 2001
). This spatial organization is thus lost post-synaptically, due to overlapping input to the aPC (for example odorants can activate multiple olfactory receptors) and due to associational fibers (Illig and Haberly 2003
). It may well be that the combined OB-aPC-pPC-OFC/Ag/PrC/ErC
(see (Haberly 2001
)) large-scale network is involved. Hence, it may be that the essential nodes/neural ensembles as related to vision may be of a different structure than those of the orolfactory systems.
With respect to the proposed food affect awareness
, neurons with vastly different tuning profiles within a modality have been encountered in the caudolateral OFC (Walker's area 12), as well as with different sensitivity to different modalities, in individual electrode tracks made orthogonal to the cortical laminae (e.g. (Rolls, Verhagen et al. 2003
)). Further, inspection of maps of reconstructed positions of responding neurons has not revealed any organizing principle related to modality sensitivity in either AI/FO, OFC or amygdala ((Rolls, Verhagen et al. 2003
; Verhagen, Rolls et al. 2003
; Verhagen, Kadohisa et al. 2004
; Kadohisa, Rolls et al. 2005
)). Indeed, given our current hypothesis that OFC would be mainly involved with the affect awareness, we would expect an organization related to reward value, rather than stimulus features. In a recent review (which included a meta-analysis of 87 imaging studies) it was indeed found that the functional organization may be along a medial-lateral axis
, reflecting reward versus punishment (Kringelbach and Rolls 2004
). The second identified functional axis (anterior-posterior) was suggested to be related to the level of abstraction of the stimulus or task. Indeed such a gradient may be sufficient to encode both the magnitude and value of the reward. More work on the functional organization of higher cortex of the orolfactory systems seems warranted. Thus I propose that awareness of intraoral food is related to the concomitant reverberant self-sustained activation of a coalition
(in Crick and Koch's terminology) of neuronal subsets in Ia-OFC (affect, hedonics) and Ia-PrC (food identity), as well as the amygdala (affect and identity) in humans.
For completeness I provide a very brief discussion on covert attention,
which may be considered a process that selects which high level information may enter the limited capacity processes of consciousness (the “bottleneck”). Attentional blindness and change blindness paradigms have shown we only become aware of a fraction of the information that lies within our visual fields (Rensink 2002
). Attention has been shown to enhance neural responses in lower visual and auditory areas without changing neural tuning (Chun and Marois 2002
), which is called attentional priming (Gazzaniga, Ivry et al. 2002
). Attentional priming occurs in the visual areas which are related to the location and features that attention is directed to (Corbetta, Miezin et al. 1991
). For example, attending to either a house or a face, in images where both stimuli were superimposed on each other, activated either the parahippocampal place area or the fusiform face area (fusiform gyrus, thought to be the human analogue of macaque IT), respectively (O'Craven, Downing et al. 1999
Attentional priming has similarly been reported for the olfactory system in a study investigating event-related potentials (ERP). Attending to orthonasally presented odor, compared to ignoring it, lead to a decrease in latency of early components and to an increase in amplitude of late components (Krauel, Pause et al. 1998
). Behaviorally, Ashkenazi and Marks (2004)
reported that attending to retronasally presented vanillin did not improve its detectability, though attention did improve detectability of sucrose (Ashkenazi and Marks 2004
) and citric acid (Marks and Wheeler 1998
). Attention did not enhance detectability of sucrose or vanillin when they were presented in the same oral aqueous solution, which was suggested to be due to their quality fusion into a unique new flavor (Ashkenazi and Marks 2004
). Future studies should explore the possibility of behavioral and neural differences when attending to orthonasal versus retronasal odorants, as well as to the possibility of neural priming in gustation. It will furthermore be of interest to assess to what extent differences in odor versus taste processing as modulated by attention reflects their differential involvement with thalamo-cortical gating mediated by the thalamic reticular nucleus (Crick 1984
), as the olfactory system anatomically lacks such obligatory thalamic mediation ().
Unattended information may be highly processed without awareness thereof, up to the semantic level, as shown in extinction experiments with patients showing unilateral neglect (Gazzaniga, Ivry et al. 2002
) and experiments on change blindness and attentional blink, arguing for a “late selection” process (Chun and Marois 2002
). Gazzaniga and colleagues (1999) have shown, in a well-controlled fMRI experiment, that frontal and parietal cortical areas mediate the internal “spotlight” of visual spatial attention, including the frontal eye fields, PPC and cingulate gyrus, as have others (Pessoa, Kastner et al. 2003
). This network of areas overlaps with the one revealed in neuroimaging studies on attention to visual object features (Pessoa, Kastner et al. 2003
). It has been proposed that this frontal-parietal network is required for explicit awareness of visual events that are neurally processed up to the category- and item-specific level (Chun and Marois 2002
), by providing top-down biasing signals modulating activity in the visual cortex (Pessoa, Kastner et al. 2003
). It remains to be tested whether this also holds for orolfactory food perception.
Emotionally salient stimuli can act as exogenous cues for attention (Gazzaniga, Ivry et al. 2002
). For example, aversive words are detected more readily and produce smaller attentional blink errors (Chun and Marois 2002
). It has been found that the amygdala plays a major role in the emotional modulation of attention (Anderson and Phelps 2001
). Amygdala activation can be elicited by emotionally salient stimuli without awareness (Whalen, Rauch et al. 1998
) and requires attention (Pessoa, McKenna et al. 2002
). As orolfactory stimuli can be primary reinforcers (Rolls 1999
) this suggests that the amygdala may be critical for the exogenous attentional cuing to these stimuli. There, the amygdala may show interaction with the right temporoparietal junction and inferior and middle temporal gyri, which have been suggested to be involved in exogenous attentional functions (Corbetta and Shulman 2002