Posts tagged stages
According to Indian Aesthetics , as outlined in Bharat Muni’s Natyashatra, there are eight Rasas or impacts that an aesthetic piece of work like dance form/ literary piece, tries to achieve/invoke in the beholder/reader. These can be loosely thought of as eight different kinds of aesthetic experiences.
As is evident I like all things eight, as I believe they have an underlying eight fold evo-devo stage structure behind them. In this case in visual art from each of the rasa is associated with a predominant color that signifies that rasa. For eg Shringar or Love/beauty/erotic rasa has as its color, color green.
Now, I have also blogged previously about color terms and how they may have evolved in an eight step model. In brief, I believe that Black came first , white next, then Red followed; after which followed yellow, blue and green and then other terms like orange, brown and grey followed. This I believe is also tied to the way our color vision and sensitivity would have grown/evolved.
Taking cue from that color term evolution model , I belive the eight rasas evolved in the same order as the color used to denote them, and that nicely fits with other aspects of the eight stage theory too, like the eight stage emotion development.
So, in essence, please find listed below the eight Rasaas in the correct eight stage order:
1. Bahyanak Rasa: color Black : emotion fear.
2. Hasya Rasa: color white: emotion joy/laughter
3. Rudra Rasa: color red : emotion anger
4. Adbhuta Rasa: color yellow , emotion wonder
5. Bibhitsa Rasa: color blue, emotion disgust
6. Shringar rasa: color green; emotion erotic/love
7. Veera rasa : color orange; emotion heroism
8. Karuna rasa: color grey; emotion compassion/ sadness.
Contrast this with the basic emotions list I have come up earlier viz.
1. Fear – Bahyanak
2. Joy/happiness – Hasya
3. Anger – Raudra
4. Sadness – Karuna
5. Disgust – Bibhitsa
6. Surprise – shringar
7. Contempt – Veera
8. Interest (anticipation) – Adbhuta
With just one switch between the Adbhuta (wonder/interest) and Karuna (sadness/ compassion), the eight rasas fit both the color term evolution and basic emotions evolution. That surely means we are at something and moving in the right direction as different routes are leading to the same destination. .
I have also advocated the four primary problems faced by all creatures undergoing evolution, as delineated by Theodore Millon– the problems of Existence; Adaptation; Replication and Abstraction which lead to polarities of pain/pleasure; active/passive; self/other and broad/narrow at each of the stages/domains/ solutions.
However, when we pause to look at what the mechanism of evolution actually is, we clearly note that there are a few prerequisites for evolution to take place and unless all the four mechanisms/ preconditions are present it is unlikely that the creatures will evolve. I have been having this in the back of my mind for quite some time especially as I have been ruminating on the BVSR (blind variation and selective retention) theory of Donald Campbell as applied to creativity.
I was recently reading ‘Driven’ and in that book too a lot of emphasis is placed on the V-S-R (Variation, Selection, Retention) mechanism of evolution. I think this popular portrayal of evolution misses another important ingredient required for evolution that of Struggle due to limited resources and excess fecundity. If the problem of limited resources and excess fecundity was not there, probably there would be no pressure to evolve.
Thus I would like to frame the four evolutionary prerequisites/ mechanisms as Struggle-Retention- Variation-Selection or S_R_V_S. To elaborate:
1. Struggle: This is driven by the fact of limited resources and overproduction due to excess fecundity. Here two strategies, leading to 2 polarities, work; one can either compete for resources or one can cooperate and exist symbiotically. Also, one can either have a r-strategy (low investment in many) of reproduction or A K-strategy (high investment in few). In the eight stage model, the organisms at first 2 levels would be primarily constrained by this evolutionary mechanisms.
2. Retention: There must exist some mechanism by which the traits that confer survival/reproductive or selection advantage can be retained over time in the same individual and over generations in the same species. Again the mechanism of stable trait over time as well as over generations may be in conflict with each other and may lead to a polarity. Creatures at stage 3 and 4 of 8 stage evo-devo theory would likely face issues regarding stability and retention of traits; retaining in individual the same trait is an active process; while retaining in generations is more passively driven.
3. Variation. There must exist some mechanism that causes minor changes in the stable traits such that variation may lead to deleterious or beneficial effect over the individual having that variation. This is classically implemented using mutations and sexual-recombinations. While mutations confer (dis)advantages at an individual level; recombinations take that to the next level by affecting offsprings variability. The creatures at stages 5 and 6 of evo-devo stages are grappling with these problems of adequate variation in self and other.
4. Selection: There must exist some selection criteria based on which the struggling creatures having stable but slightly varying traits can be selected for or against. While Natural selection (stage 7) employs the three methods of directional, stabilizing and disruptive selection; the stage 8 deploys a qualitatively different method of sexual selection where the criteria for selection may be arbitrarily driven by choices of the other gender conspesifics. While the Natural selection criteria is broad, the sexual selection criteria can be said to be narrow. Another way to look at this is that the selection crteria is either to survive (natural selction) or to reproduce (sexual slection) and those who are sucessful can very well move from one level/species to another (speciation due to sexual selection).
To me this is further corrobrating evidence of the eight stage evo-devo theory and ABCD model being on the right track.
This post is an ambitious attempt to link the four causes delineated by Aristotle, to the four questions asked by Tinbergen to the four types of explanations that can be made for any human/animal ability.
First a bit of a background.
Aristotle had listed four causes – Material, Efficient, Formal and Final causes. From the Wikipedia:
Aristotle held that there were four kinds of causes:
- A thing’s material cause is the material of which it consists. (For a table, that might be wood; for a statue, that might be bronze or marble.)
- A thing’s formal cause is its form, i.e. the arrangement of that matter.
- A thing’s efficient or moving cause is “the primary source of the change or rest.” An efficient cause of x can be present even if x is never actually produced and so should not be confused with a sufficient cause.(Aristotle argues that, for a table, this would be the art of table-making, which is the principle guiding its creation.)
- A thing’s final cause is its aim or purpose. That for the sake of which a thing is what it is. (For a seed, it might be an adult plant. For a sailboat, it might be sailing. For a ball at the top of a ramp, it might be coming to rest at the bottom.)
While studying these causes scholars have stressed on two sorts of distinctions, the first is the concept of actuality and potentiality– while some causes like the final cause (teeos or entelchiea) and formal cause (eidos or energiea) are actual; the material cause is deemed to be poetntial.
The other concept is that of Hylomorphism, or the distinction between matter and form. I believe that the four causes can be broken down along the two dimensions of potentiality/actuality and matter/form as below to lead to a 2×2 matrix of causes.
However, I like to arrange it slightly differently. I retain the ultimate/proximate distinction, but supplement it with Accidental/ Teleological distinction. Accidental to me means phylogeny due to random genetic drift and genetic baggage; and physiologic mechanisms like hormones etc kicked in accidentally by random interaction with immediate environment; on the other hand the process of adaptation and developmental unfolding to an adult form (ontogeny) appear purposeful and pseudo teleological. Thus my arrangement:
Which leads to how I became re- interested in these four causes recently- it was while reading an article by Dean Simonton on ability , wherein he conjectured that studying both the generic and specific factors that affect performance as well as acquisition of ability is problematic and non-fruitful, that I remembered about these and saw how fruitful it may be to conceptualize ability in just so many terms. Hence my conceptualization:
In general for ability I think the following four factors are applicable and all four have strong influences on ability; I have named them talent, hard work, grit and optimism etc elsewhere. In general for any trait like intelligence, emotionality etc I think the 2×2 factor matrix is relevant and worth keeping in mind.
That brings me eventually to my own levels of explanations for any phenomenon. I believe evo-devo explanations as well as psycho-social factors have equal weight-age while explaining say behavior. while some of these explanations are mechanistic/deterministic other are of non-deterministic or chaotic origin. Similarly, while some are governed by factors internal to the organism others are mostly affected by extrinsic factors.
I hope the above conceptualization makes sense. It is inline with my eight stage model and four domains model where Evo is stage 1&2; social- stage 3&4, devo- stage 5&6 and psycho stage 7&8.
While most people are generally aware of the five factor model of personality (that is the FFM or OCEAN model that is revealed by factor analysis), the two factor models of personality may not be that readily apparent, though most readers will be familiar with some form or the other of the 2 factor models of personalities like the four humors/temperaments of the Greeks or the enneagrams or the temperaments used in Kiersey personality sorter.
In brief, two factor models of personality posit that individuals differ on two bipolar dimensions and that one’s personality type or temperament can be determined based on whether one is high or low on these 2 dimensions. for eg consider factor 1 and factor 2 as the 2 underlying personality factors; then there would be 4 typical temperaments : high factor 1, high factor 2; high factor 1, low factor 2; low factor 1, high factor 2; and low factor 1, low factor 2. Typically the extremes of the bipolar factors would be named such that low factor 1 corresponds to some trait and high factor 1 to opposed trait and similarly for factor 2.
The scheme becomes sometimes more complex by not mandating that a personality type lies on extremes, but positing that the balanced or middle value of these factors is also relevant; in these cases up to 9 personality types can be created by using the 3 typical values (high, mid, low) of the two factors. Enneagrams uses this schema.
To clarify by way of an example, the ancient Greeks posited 2 underlying personality factors – a hot-cold factor that coded the response-delay as to whether response was quick or slow to follow an event; and a dry-wet factor that coded whether the response was sustained or subsided quickly. This resulted in 4 temperaments: sanguine ( Air i.e. hot and wet; quick onset and quick offset; the happy-go-luck personality ) ; choleric (Fire i.e. hot and dry ; quick onset but prolonged offset; the energized or angry personality) ; Phlegmatic ( Water i.e. cold and wet; prolonged build-up but quick offset; the hard-to-provoke calm personality) and finally melancholic (Earth i.e. cold and dry; prolonged onset and prolonged offset ; the classical brooding personality) .
As one can see from the Wikipedia page on 2 factor models of personality, there are a lot of theories that define their personality types on the basis of 2 underlying factors one of which is factor 1 (the Wikipedia page cites that as extroversion scale) and teh second is factor 2 (which the Wikipedia labels people-task orientation scale, a nomenclature to which I am more sympathetic).
There is a table listed at the end of the Wikipedia article and form a cursory look at the table one can see that the interpretation of the two factors have changed from time to time; it began as affect/emotion based interpretation; got morphed into behavioral terminology; briefly flirted with motivational constructs that lead to character types(refer Fromm) and finally also had some recent cognitive interpretations. I am a big proponent of the ABCD model of psychology and the eight stage models of personality; I have formerly reconciled the ABCD model with eight personality factors/stages by following Theodore Millons approach whereby each Affect, Behavior, Desire (Motivation) and Cognition is split in 2 underlying polarities viz, pleasure/pain; active/passive; self/other and broad/narrow respectively.
While reconciling the above I have also been acutely aware that I am more focused on the person side of personality rather than the situation side of personality. Those who are aware of the person-situation debate in personality psychology will be aware that any analysis that focuses on person to the exclusion of environment/situation is not doing full justice to the study of personality or psychology. To remedy that I propose that while factor 1 in each ABCD domain can be used as a proxy for the splitting of Affect, Behavior, Desire or Cognition under the 2 polarities and in internal focused , the factor 2 is more in relation to the environmental/ situational effects and is more external.
If you have lost me till now, please bear patience. Let me clarify by way of an example. consider the DiSC theory and assessment produced by William Martson. He proposed 2 factors ; Factor 1 is Active/passive with reference to behavior of person and Factor 2 is open/controlled or favorable/antagonistic with reference to the environment one chooses to operate in/ finds oneself in. Thus, his definition of DISC as follows:
Dominance, which produces activity in an antagonistic environment; with a feeling of unpleasantness until stimulus is acted upon
Compliance, which produces produces passivity in an antagonistic environment; with a feeling of unpleasantness until stimulus is reconciled
Inducement, which produces activity in a favorable environment; with a feeling of pleasantness increasing as interaction increases
Submission, which produces passivity in a favorable environment; with a feeling of pleasantness increasing as yielding increases
Of course he is working on 2 levels – the Affect level where he discusses feelings and emotional tone and stimuli and the Behavioral level where he discusses active/passive behavior in a appropriate environment. With this I am all set to propose my new 16 factors theory of personality that may also bridge the gap between ABCD model of personality/psychology, the eight stages /factors theory of personality and the 16 personality factors or the 16 MBTi types.
To recall, Affect is the first stage/domain where pleasure/pain polarity is operational; I propose we also take in account a second polarity/factor as to whether the stimuli causing pleasure(pleasantness)/ pain(pleasantness) is present/being introduced or being recalled/ is absent. Let us call this factor Stimuli present/stimuli absent.
Behavior is the second stage/domain where active/passive polarity is operational; here the effect of environment can be subsumed under the polarity of whether the environment is favorable or antagonistic. Let us call this factor env favorable/antagonistic .
Desire is the third stage /domain where the motivational impetus can be either Self /Other focused. Here the environment/situational factors to consider are the significant others or the desirable objects – be it things or peoples . I call this polarity of being concerned with objects the things/ people factor.
Cognition is the final fourth stage/domain where the operational polarity is that of Broad/narrow – or put another way abstract(generalized) and concrete (specialized) ; here I posit that the system which is being cognized can be either chaotic/ orderly and that view of how the system is conceived results in factor of system chaotic/orderly.
Let me now elaborate all the 16 different types that emerge once one takes all these 2 factors (diff for each domain) and the 4 domains (ABCD) under consideration.
Affect driven combinations/types :
- generally feels pleasant due to presence of stimuli (a happy-g-lucky sanguine person; predominant emotion : joy; ‘reward’ driving factor in terms of reinforcement theory)
- generally feels pleasant due to absence of stimuli ( a lazy , lethargic., contended phlegmatic personality; ‘relief’ in terms of reinforcement theory) .
- generally feels unpleasant due to presence of stimuli ( an angry person energized to remove that stimuli; choleric with predominant emotion anger and ‘punishment’ driven in terms of reinforcement theory;)
- generally feels unpleasant due to absence of stimuli (a sad person grieving loss of a beloved object ;melancholic with predominant emotion sadness and ‘penalty’ is the reinforcement principle in use)
Behavior driven combinations/types
- Actively strives in favorable environments. (Influence/Inducement in DiSC terminology)
- Actively strives in even antagonistic environments ( dominant in DiSC terminology)
- Passively accommodates in even favorable environments (Submission/ steadfastness in DisC terminology)
- Passively accommodates in unfavorable environments ( Compliance in DiSC)
Desire /Motivation driven combinations/types leads to Fromm’s Character orientations
- Accommodating others with a focus on people – Marketing Character orientation as per Fromm
- Accommodating others with a focus on things – Receptive orientation-Fromm
- Assimilating in self the other people – Manipulative orientation-Fromm
- Assimilating in self with a focus on things- hoarding orientation-Fromm
Cognition driven combinations can be correlated with Hermann Brian dominance Instrument
- Broad/generalized synthesis of chaotic patterns ( Imaginative thinking style)
- Broad/generalized synthesis of ordered patterns (Interpersonal thinking style)
- Narrow/specialized analysis of chaotic patterns ( Sequential thinking style)
- Narrow/specialized analysis of orderly patterns ( Logical thinking style)
Of course I would love to correlate the cognitive factors with the Beauty and sublime factors of Kant but am unable to paint a coherent picture at this time. Maybe one day I will.
How do you find the above marriage of ABCD theory with 2 factor models of personality? do let me know via comments.
In my last two posts I introduced the concept of ICNs and the form they take over developmental time-frame. This post focuses on the most common and consistent ICNs that have been found in the adult humans. To recap, ICNs are found by Independent Component Analysis (ICA) of Resting state functional connectivity MRI (rs-fcMRI) and the number and components of ICNs have been found to vary over the developmental time-frame.
Different studies find different number of components/ICNs and some of the variance is due to different methods used to estimate an delineate the number of components. For eg., in one study multiple methods were used and they led to estimates ranging from 8 to 20 + for the number of components using the same rs-fcMRI scan.
The same study listed the following ICNs out of which 4 are clearly a result of artifact and not true ICN’s.
We sorted the 20 components into two broad classes – functionally relevant components (i.e., ICNs) and scanner/physiological artifactual components – based on visual inspection of each component’s spatial profile (e.g., biological plausibility, comparability to patterns previously reported in ICA-based studies) and timeseries-based power spectrum profile (e.g., whether or not signals < 0.1Hz were prominent). We noted 4 components that appeared to be associated with artifactual sources: cerebrospinal fluid (IC01), white matter (IC03), head motion (IC05), and large vessels (IC16). These four components accounted for 39.4% of the total variance in the resting state fMRI data. Several functionally relevant components consistent with prior reports were also revealed in our results. Two components (IC04 and IC15) are involved in vision. IC09 combines visual and motor regions including the occipital pole, superior parietal cortex and precentral gyrus. IC13 includes brain regions such as the primary motor cortex and primary and association auditory cortices. Several components include regions related to various high-order brain functions: fronto-parietal networks corresponding to cognition and language functions (IC07 and IC19), medial-frontal including anterior cingulate and paracingulate associated with executive control (IC08) and three “default mode” networks (IC10, IC12 and IC14). We found six other components that are rarely reported or investigated systematically corresponding to the cerebellum (IC11 and IC18), a motor-striatal component (IC02), a ventromedial prefrontal component (IC17), a brainstem component (IC06), and a temporal-lobe component (IC20). Of note, we found several components that exhibit anticorrelation relationships between regions (IC04, IC08, IC14 and IC15). In particular, the executive and attentional network (IC08) and the “default mode” network (IC14) demonstrated prominent anti-correlation relationships (Figure S1).
We detected the classic “default mode” network, although in the form of three components that we interpret as sub-networks. The first is a medial-prefrontal subsystem (IC12), the second is a posterior cingulate/precuneus subsystem (IC10), and the third is a temporal subsystem (IC14). These three subsystems mainly overlap in the posterior cingulate cortex and medial prefrontal cortex (Figure S2). As we discuss below, the existence of three overlapping but differentiable sub-networks may account for some of the variations in the specific spatial distributions or functional specialization of the “default mode” network reported across ICA studies (Buckner et al., 2008; Harrison et al., 2008).
In another famous study by Damoiseaux they found 10 components as follows:
The 10 components showed low-frequency variations in time (mean peak frequency: 0.015 Hz; range 0.005–0.030 Hz) and can be described as follows. Fig. 1 A and A’ shows a pattern that consists predominantly of the peristriate area, and lateral and superior occipital gyrus [Brodmann area (BA) 19], which are areas recognized as part of the visual cortex. Fig. 1 B and B’ shows a cluster consisting of the prefrontal (BA 11), anterior cingulate (BA 32), posterior cingulate (BA 23’31), the inferior temporal gyrus (BA 20’37), and the superior parietal region (BA 7), known as the default-mode network as described by Raichle et al. (18) and Greicius et al. (17). Hippocampal involvement in this component, as described by Greicius et al. (22), is not found. Fig. 1 C, C’, D, and D’ shows components that are predominantly in the left (C and C’) and right (D and D’) hemispheres, the middle frontal and orbital (BA ‘6’9’10), superior parietal (BA 7’40), middle temporal gyrus (BA 21), and the posterior cingulate (BA 23’31; C and C’ only). These are the only components that show strong lateralization and are areas known to be involved in memory function. Fig. 1 E and E’ encompasses part of the striate and parastriate (BA 17’18). The visual cortex is apparent in two separate components. The more lateral visual areas are in Fig. 1 A and A’, and the more medial visual areas are in this figure. Fig. 1 F and F’ shows the pre- and postcentral gyri (BA 1’2’3’4) in one component, representing the motor and sensory network. Fig. 1 G and G’ shows the superior temporal (BA 22) area as the main element of this spatial map. Involvement of the cingulate (BA 23) and superior frontal (BA 9’10) areas is also seen. This cluster of brain regions bears a strong resemblance to the occipitotemporal pathway (ventral stream). Fig. 1 H and H’ involves mainly the superior parietal cortex (BA 7) with additional involvement in the occipitotemporal (BA 37) and precentral (BA 4) areas. Fig. 1 I and I’ involves the superior temporal (BA 22) and insular and postcentral cortex (BA 1’2), which are areas acknowledged to represent the auditory cortex.
To simplify things I propose the following eight ICNs listed in the order of strength/developmental unfolding/ evolutionary precedence, following my proven eight stage evo-devo model. All ICNs referred below are those in study by Zuo et al. unless otherwise stated.
- Visual (IC4) fig 1A in Damoeseoux- occipital
- Sensorimotorfig 1 F in Damoseousx -pre-post central gyrus
- Auditory/memory (IC13) fig 1 I -auditory/temporal cortex
- Language/spatial (IC7/IC19) Fig 1C and Fig 1D of damoseoux – fronto-parietal, strongly lateralized in two hemispheres
- SALience(also Known as SAL) Anterior Insula+ anterior Cingulate
- Balance and co-ordination (IC 11) – Cerebellum
- Default Mode Network(IC10, IC12, IC14) , Fig 1 B- Medial frontal, posterior cingulate, Angular gyrus
- Executive Control Network (IC8)Fig 1J – dorsolateral, prefrontal + sup parietal
Some may doubt why I include CERebellum ICN as a basic ICN, but it has been shown that cerebellum not only provides distinct components to existing ICNs , there is an separate Cerebellum ICN also. For eg. Peterson et al used a Cerebellar component in their analysis of how ICNs change over developmental time-frame.
A Structural Covariance Networks (SCNs) based approach to delineate the devlopemental time course of networks in brain comes closest to the eight stage /networks elaborated above. The study is by Zielenksi et al and use seeds from well known ICNs to grow SCNs in children, adolescents and adults. These are the eight SCNs/ICNs (seeds given in brackets) they studied :
- Visual (ccalcerine sulcus)
- Motor (pre-central gyrus)
- Auditory (Heschel’s gyrus)
- Syntax (Inferior Frontal Gyrus)
- Semantics (temporal pole)
- SALience (Fronto Insula)
- DMN (Angular Gyrus)
- ECN (DLPFC)
I am convinced that there are only 8 basic ICNs/SCNs with perhaps the DMN split into 3 sub-networks (as is usual for stage 7) and Speech/syntax split or lateralizaed into 2 distinct ICNs. (as is sometimes the case with stage 4) . If you come across other such basic ICNs do let me know.
Zuo, X., Kelly, C., Adelstein, J., Klein, D., Castellanos, F., & Milham, M. (2010). Reliable intrinsic connectivity networks: Test–retest evaluation using ICA and dual regression approach NeuroImage, 49 (3), 2163-2177 DOI: 10.1016/j.neuroimage.2009.10.080
Damoiseaux, J., Rombouts, S., Barkhof, F., Scheltens, P., Stam, C., Smith, S., & Beckmann, C. (2006). Consistent resting-state networks across healthy subjects Proceedings of the National Academy of Sciences, 103 (37), 13848-13853 DOI: 10.1073/pnas.0601417103
Fair, D., Cohen, A., Power, J., Dosenbach, N., Church, J., Miezin, F., Schlaggar, B., & Petersen, S. (2009). Functional Brain Networks Develop from a “Local to Distributed” Organization PLoS Computational Biology, 5 (5) DOI: 10.1371/journal.pcbi.1000381
Zielinski, B., Gennatas, E., Zhou, J., & Seeley, W. (2010). Network-level structural covariance in the developing brain Proceedings of the National Academy of Sciences, 107 (42), 18191-18196 DOI: 10.1073/pnas.1003109107