Mind mapping is a technique that I have been fascinated with ; I have tried my hands with some online mind mapping tools like the FreeMind and have also tried a few offline mind maps, but before reading this book was largely unaware of how to create a great and memorable mind map. My mind maps were monochromatic and mostly words.

Dilip , who has learnt Mind Mapping from none other than Tony Buzan, shows you the right way to mind map (using a central figure, use colors, use figures etc so that both sides of minds – the literal left side and the figurative right side are utilized to the hilt)  . He walks the reader through many mind mapping exercises that make you conversant with the technique.

The subject of the mind map exercises are themselves a bundle of techniques designed to help you read/ write better etc. and he provides example mind maps that delineate the techniques in an easy to remember format. He shows and not tells and leads by example.

Mind mapping is the second part of the book. the first part of the book is on overview od brain science. Here apart from repeating some obvious fluff like the fact that we use only 1% of our brain (god , when will this myth die) , he is mostly able to stick to the facts and gives an accurate assessment of how our brains function and how they have evolved. /e also deals to some length with the right brain-left brain asymmetry but does not go too much overboard; considering that one of the main advantage of mind mapping is using both the halves, we can grant him that much liberty.

The format of the book is pretty good. there is a lot of colour, a lot of figures and mind mas and a lot of white spaces where you can do mind mapping yourself.

there are two other sections in the book focusing on puzzles and brainteaser and it is healthy workout for your brain.

Overall , I have little patience with those writers or books that claim to phenomenally increase your brain power , but I am quite sympathetic to this book and recommend this to anyone who wants to learn the right way to  Mind Map.

Mind mapping is an extremely powerful technique and there is none better than dilip from which to learn it. If you’re really interested in utilising both your brains for mapping out pieces of your life or remembering difficult to master associations, then money spent on this book would be worth it.

However this book will be most useful to those who will actually  practise the exrcises and try their hands actively on mind mapping; if your interest is theoretical or you shy from exercises you will not be able to reap that much benefit from the book.

Full disclosure: I got this book for free for reviewing and am intrigued by the Mind Mapping methods.

This review is a part of the Book Reviews Program at BlogAdda.com. Participate now to get free books!

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There is long-standing debate in psychology regrading whether ability is inborn or a result of environmental interactions? Whether it is fixed and constant over time or malleable and subject to interventions.

We have also looked at research by Dweck et al that say that no matter whether  ability be actually fixed or malleable, the belief that it is fixed and malleable has important consequences. We are better off believing that ability is malleable as that enables us to be more persistent in face of obstacle , more creative and engaged while solving problems and enables us to to tackle hard problem as we are in a learning mindset and not in a  proving ourselves/ validating ourselves  mindset.

However the issue still remains as to whether ability is inborn or learned? whether genius is 99 % perspiration and 1 % inspiration or whether one can will oneself or choose to be a genius.

Like the other false dichotomies of psychology this one as to whether genius are born or made is not only false by pitching 2 things against each other where both have a role to play but also misses on the other aspects of being a genius like it being a result of sheer will power or the attitude that one has to see thins in a creative light.

While one group claims that talent/IQ is all that is there is to the genius story, the other camp is equally adamant that the 10,000 hours of practice rule suffices to explain genius.  To some other genius is all about determination or grit; while still others think that optimism, positive framing and attitude and how we deal with ‘lucky’ breaks is all it takes to become a genius.

There are truths to each of the story, but by focusing on one aspect to the exclusion of others they all miss the point. Its only when you see a genius as a combination of these can you really appreciate the complexity and multiple facets of being a genius.

To give us a framework of reference I refer readers to my ABCD model of psychology where A is Affect(genetics) , B is Behaviors (actions and environment)  , D is Desire  (developmental unfolding of motivation)  and C is Cognition ( Conscious decisions and manifestations) .

To see a genius in the light of ABCD model is to see him/her as consisting of talent/IQ (largely genetic and inborn), hard work (need to put the 10,000 hours pf practice to achieve domain mastery), grit (motivation and determination , maybe unconscious , to succeed and overcome obstacles)  and attitude (positive re-framing, optimism and choosing to see things in a creative/positive light) .

Out of these talent /IQ is something that we can least work on while positive and creative attitude and mindset is what we can easily change by changing our conscious thought and thinking styles and patterns alone. Hard work (related to conscientiousness) or grit (related to how intrinsically motivated and determined we are) are also more or less in our control . Thus to me becoming a genius is both a choice, that is within everyone’s reach, and a difficult journey that one has to necessarily undertake (a quest that challenges you to self-actualize)

Genius both become what they want to and manifest what their hidden potentialities are . to state otherwise or to assert that they are either born or made is to continue paying homage to a false dichotomy that has longed outlived its usefulness.

Yesterday I wrote a post about ADHD and creativity and how the frontal lobes hypo-function and dopamine may be the mediating factors involved.  Today I serendipitously came across this article by Thomson-Schill et al in which they posit that frontal cortex hypofunction during childhood is beneficial, on average, as it enables convention learning and thus linguistic acquisition.

What they basically mean is that frontal cortex has been found to be involved in cognitive control i.e. in higher cognitive functions like planning, flexible thinking etc ; and the frontal cortex does this by biasing the competitive responses elicited by a stimuli by goals /existing beliefs / other task related information that is maintained in the working memory. To take an example, cognitive control is often measured by tasks such as the stroop task. the strrop task measures how well you are able to suppress the prepotent response tendency of naming the color-term itself by the task-relevant constraint that you name the color of the term instead. when a color term like ‘green’ is presented in Red color, then the green as well as red linguistic response compete with each other. In the absence of frontal biasing in teh direction of color ie.e red, we are apt to name the color-term itself i.e green by default which is the habitual response. Children , who have less well-developed frontal cortices generally perform poorer at the stroop task than adults as their frontal cortex does not bias or tilt the scales in favor of the color used rather than the color-term presented.

The authors claim that this inability to bias results on the basis of pre-existing knowledge/beliefs leads to a greater ability to learn. They posit that learning conditions (that maximize competition )  are different from performance conditions (where one response needs to be selected or competition minimized) and the child’s brain is optimized for learning by not having frontal inhibition and control. An example they give is filtering noise form signal which the child are able to do, but adults can’t. for eg. if a new language has a phrase ‘et tu brute’ and 75 % of times it is in this form and 25% of times it is of the form ‘et tu vous Brute’, then adults will tend to probability match and select the utterance/ utter themselves phrase ‘et tu brute’ 75% of times and ‘et tu vous Brute’ 25 % of times. This is because when they want to utter the phrase their existing knowledge that sometimes the other phrase is also used, makes them sensitive to variations. In child’s brain on the other hand a competition between the two phrases takes place and as there is no moderating influence involved, the outcome hundred percent of the time is ‘et tu brute’. Thus, they are able to learn conventional meaning of a phrase/word etc more easily than an adult who gets bogged down by variations. Thus sometimes, less is more!

However the reason I got hooked to this study is the implications they draw for ADHD/Autism and creativity. I’ll quote them verbatim on the issue:

Central to our proposal is the claim that the timing of PFC development has been the target of selection and, therefore, that variations in timing are functionally meaningful. Recent neuroimaging studies have revealed potentially important differences in the timing of PFC development across typical and atypical individuals. Variations in the trajectory of PFC maturation (based on repeated measures of cortical thickness) have been associated with cognitive measures in typically developing children (Shaw et al., 2006). Children with attention-deficit hyperactivity disorder (ADHD) exhibit a delay in cortical maturation that is most prominent in the PFC (Shaw et al., 2007). In contrast, children with autism spectrum disorders (ASD) undergo early maturation of the PFC (Carper, Moses, Tigue, & Courchesne, 2002). A better understanding of the implications of these timing changes for both learning and performance may illuminate some of the behavioral and cognitive patterns associated with these diagnoses (e.g., impaired acquisition of social conventions in ASD), as well as offer a fertile ground for testing the validity of our hypothesis that typical PFC development involves a trade-off in favor of learning to the detriment of performance in infancy and early childhood.

This gels quite nicely with what I have been speculating for some time, that ADHD and Autism are opposed and that ADHD is childhood equivalent of psychosis. ADHD kids are bound to be good learners, more divergent creative and have better social and linguistic skills. Autistic kids on the other hand would be better performers (say child prodigies in memory etc) , more convergent thinkers, and have less social and linguistic skills- one mechanism of which may be lesser ability to learn social and linguistic conventions- like the usage of metaphorical terms.

On creativity this is what the authors say:

Creativity—the ability to approach an object or a situation from an alternative perspective—may benefit from the unsupervised competition that occurs in the absence of prefrontal control. Consider one common assessment of creative thinking, the Alternative Uses Task: When attempting to think of ways to use an object in some atypical way, adults struggle. In this case, an active PFC might, paradoxically, hinder flexible thinking, because the representation of the object is sculpted by prior experience and expectations. Interestingly, young children are immune to this kind of functional fixedness (German&Defeyter, 2000). Successful performance in similar tasks of ideational fluency has been associated with EEG changes in prefrontal regions (e.g., Mo¨lle, Marshall, Wolf, Fehm, & Born, 1999). Furthermore, patients with PFC damage solve insight-problemsolving tasks better than do their healthy counterparts (Reverberi, Toraldo, D’Agostini, & Skrap, 2005). This apparent flexibility of behavior can be interpreted as a stimulus-driven response: A mind that is at the mercy of its environment is not shaped by expectations or beliefs. This interpretation highlights a parallel between functional fixedness and probability matching, in that both of these ‘‘adult’’ phenomena involve biasing stimulus–response associations based on expectations. This proposal suggests new avenues of investigation into the processes that support creative thought and into putative relations between creativity and psychological disorders associated with hypometabolic prefrontal function (i.e., a state of lower energy consumption in the PFC, as in bipolar disorder, for example).

The above analysis of creativity in terms of hypofunction of frontal cortex bodes well for my theories of creativity-ADHD relationships as well as creativity-psychosis (bipolar etc) relationship, both of which involve developmental or functional hypofucnction of frontal cortex.

Thompson-Schill, S., Ramscar, M., & Chrysikou, E. (2009). Cognition Without Control: When a Little Frontal Lobe Goes a Long Way Current Directions in Psychological Science, 18 (5), 259-263 DOI: 10.1111/j.1467-8721.2009.01648.x

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A new paper by Ben Bashat et al extends their earlier findings that had found that there was accelerated maturation of white matter in children with Autism. In this new paper they use Tract Based Spatial statistics (TBSS) to determine the white matter integrity of children (age around 3 years) with Autism as compared to normal controls. Of course they used Diffusion tensor Imaging to find out Fractional anisotropy and other measures of white matter integrity.

Essentially they found that in some regions/tracts there was greater Fractional Anisotropy (FA) as compared to controls. These regions/tracts were genu and body of the corpus callosum (CC), left superior longitudinal fasciculus (SLF) and right and left cingulum (Cg). They also found that in areas of high FA there was corresponding decrease in Radial diffusivity (Dr). What this essentially means, to my naive mind, is that greater conductance or speed of action potential in axons would primarily be due to enhanced myelination which reduces leakage or lateral flow of AP.

I’ll like to contrast the results with an earlier study I had blogged about regarding creativity, psychopathology and white matter mylienation connection. As per that study an inverse relation was found between people high on creativity (divergent type) and Fractional anisotropy in frontal regions, i’e there was low FA. Also importantly there was increased Dr (radial diffusivity) in the same regions and thus the conclusion was that there was reduced myelination in those areas which meant reduced signal transmission speed and more signal leak . It is notable that that study too used DTI and Tract based Spatial statistics (TBSS) analysis method to arrive at their conclusions.

Regular readers of this blog will know my fanaticism for Autism and Psychosis as opposites on a continuum theory. This new paper nicely fits in with my last post linking creativity/psychosis and white matter/myelination, I had as much surmised that Autism would show the opposite effect and have high FA and decreased Dr. It is heartening to note when such a relation is found and reported- goes to show the strength and ability to make predictions of the theory.

However, I would also like to point out and highlight that I believe Autistic spectrum is characterized by another type of ability – the savantic intelligence- that may be directly due to this white matter /excess myelination effect. Perhaps the signals travel so fast that decisions are made locally without the time available to get other far-0off regions involved- thus giving attention to details but inability to link disparate regions and ideas.

Weinstein, M., Ben-Sira, L., Levy, Y., Zachor, D., Itzhak, E., Artzi, M., Tarrasch, R., Eksteine, P., Hendler, T., & Bashat, D. (2010). Abnormal white matter integrity in young children with autism Human Brain Mapping DOI: 10.1002/hbm.21042
Ben Bashat, D., Kronfeld-Duenias, V., Zachor, D., Ekstein, P., Hendler, T., Tarrasch, R., Even, A., Levy, Y., & Ben Sira, L. (2007). Accelerated maturation of white matter in young children with autism: A high b value DWI study NeuroImage, 37 (1), 40-47 DOI: 10.1016/j.neuroimage.2007.04.060
Jung, R., Grazioplene, R., Caprihan, A., Chavez, R., & Haier, R. (2010). White Matter Integrity, Creativity, and Psychopathology: Disentangling Constructs with Diffusion Tensor Imaging PLoS ONE, 5 (3) DOI: 10.1371/journal.pone.0009818

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We have covered many studies linking creativity with Psychosis and this new study by Manzano et al provides further corroborating evidence.

Dopamine has been linked with psychosis and is now also being increasingly being linked with creativity, especially divergent creativity and thinking style.

Divergent thinking is influenced by dopaminergic function. Reuter [6] found a correlation between divergent thinking (the Inventiveness battery of the Berliner Intelligenz Struktur Test) and polymorphisms of the dopamine D2 receptor gene–DRD2 TAQ IA. Higher creativity scores were observed in carriers of the A1 allele. This polymorphism is unrelated to general intelligence [7], [8], which suggests that it is more specifically related to Glr (“long-term storage and retrieval”). This finding is in line with functional imaging research showing the D2 system to be involved in attentional set shifting and response flexibility, which are important components of divergent thinking [9]. Furthermore, the finding indicates that divergent thinking is related to regional differences in D2 densities, since the DRD2 TAQ IA polymorphism has been shown to modulate D2 binding potential (D2BP) in both striatal [10] and extrastriatal regions [11].

Divergent thinking is traditionally measured using alternate uses test, for eg., in which a familiar object like brick is provided and subjects asked to name novel use for that object. The responses are marked for creativity as per the follwoing criterion:

• Fluency–the number of valid responses;
• Originality–how frequent the participant’s responses were among the responses of the rest of the sample;
• Flexibility–the number of semantic categories produced;
• Switching–the number of shifts between semantic categories;
• and Elaboration–how extensive each response is (if the task involves producing more than single words)

The main findings of the study was that dopamine D2 binding potential (D2BP) receptor density in thalamus correlated negatively with divergent thinking and creativity scores. Here is how the authors interpret the results:

Based on the current findings, we suggest that a lower D2BP in the thalamus may be one factor that facilitates performance on divergent thinking tasks. The thalamus contains the highest levels of dopamine D2 receptors out of all extrastriatal brain regions [33], [45]. Decreased D2BP in the thalamus has been suggested, firstly, to lower thalamic gating thresholds, resulting in decreased filtering and autoregulation of information flow [31] and, secondly, to increase excitation of cortical regions through decreased inhibition of prefrontal pyramidal neurons [46], [47], [48]. The decreased prefrontal signal-to-noise ratio may place networks of cortical neurons in a more labile state, allowing them to more easily switch between representations and process multiple stimuli across a wider association range [49]. This state, which we hereforth will refer to as the “creative bias”, could benefit performance on tasks that involve continuous generation and (re-)combination of mental representations and switching between mind-sets. The creative bias could also explain why the different measures of divergent task performance correlate: A decreased signal-to-noise ratio in thalamus would decrease information gating and possibly increase fluency; decreased signal-to-noise ratio in cortical regions should better enable flexibility and switching between representations; similarly, the associative range should be widened and selectivity should be decreased which might spur originality and elaboration.

Besides carrying benefits related to fluency and switching, the decreased signal-to-noise ratio associated with the creative bias should be disadvantageous in relation to tasks that require high levels of selective attention. Some support for this prediction can be taken from Dorfman [50] who showed that the greater a person’s divergent thinking scores, the slower his or her reaction times were on a negative priming task requiring the inhibition of interfering information. Furthermore, the creative bias may also bring a risk of excessive excitatory signals from the thalamus overwhelming cortical neurotransmission, with ensuing cognitive disorganization and positive symptoms [30]. It is thus tempting to suggest that dopaminergic modulation of neurotransmission mediated through dopamine D2-receptors could be one of the mechanisms which associate creativity with positive psychotic symptoms. Interestingly, positive symptoms are not necessarily related to problems in executive function, at least not to the same extent as negative symptoms [51], which indicates that in the creative individual “blind variation” might be affected without a concomitant decline in “selective retention”. It can be speculated that aberrant thalamic function may promote unusual associations, as well as improved performance on divergent thinking tests in healthy individuals, in the absence of the detrimental effects typically associated with psychiatric disorders. In other words, thinking outside the box might be facilitated by having a somewhat less intact box.

In plain English speak, the same decreased signal-to-noise ratio in perfrontal regions that gives rise to creativity also gives rise to proneness to psychosis. The more the noise that is introduced the greater the chances that the ideas generated by ‘blind variation’ are more creative; if the ‘selective retention’ procedure is also defective or loosened to an extent, it may result in psychopathology and psychosis, while if intact it leads to creativity. Thus while one factor , that of loosening of associations, flexibility and set switching is common to both psychosis and creativity, the defects in selective retention may be the crucial factor that distinguishes brains from bonkers.

de Manzano, ?., Cervenka, S., Karabanov, A., Farde, L., & Ullén, F. (2010). Thinking Outside a Less Intact Box: Thalamic Dopamine D2 Receptor Densities Are Negatively Related to Psychometric Creativity in Healthy Individuals PLoS ONE, 5 (5) DOI: 10.1371/journal.pone.0010670

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