Monday 23 August 2010

I-Y, Damasio PNAS article

Neural correlates of admiration and compassion (2009)

May Helen Immordino-Yang, Andrea McColl, Hanna Damasio & Antonio Damasio

Proceedings of the National Academy of Science, 109, 19, 8021-8026

Compassion for physical pain CPP

Compassion for social/psychological pain CSP

Admiration for virtue AV

Admiration for skill AS

Social emotions play a critical role in interpersonal relationships and moral behavior .

Take admiration & compassion as examples.

Social

Admiration ….. reward

Compassion…. Remedy

Personal

Heightened self-awareness and evaluation

P8021 ‘ the extent to which we use neural systems related to sensing and regulating our own body and consciousness to react emotionally to the physical and psychological situation of others has not been investigated comprehensively’

Need to make a critical distinction between recognising a circumstance and responding to it.

Responding to physical v responding to psycho-social

‘if the neural mechanisms involved in empathy for another’s physical situation e.g. anterior insula for pain, are also involved in psych-social an important question relates to the timing of the neural activity involved. For example, compassion for physical pain is evolutionarily well established ( ref 29) and develops early in children ( ref 30) whereas CSP would require more substantial cognitive processing elated to cultural factors.

Making inferences : The neurobiology of social cognition

Areas involved

1. Temporoparietal junction (TPJ)

2. Mesial prefrontal cortex

3. 3 contiguous areas, of posteriomedial cortices (PMC)

i. posterior cingulate

ii. retrosplenial area The retrosplenial region is a brain area and part of the cingulate cortex. It is defined by Brodmann area 26, Brodmann area 29 and the Brodmann area 30. Retrosplenial cortex has dense reciprocal projections with both the anterior thalamic nuclei and the hippocampus. In humans fMRI studies implicate the posterior cingulate region in the recall of episodic information. The retrosplenial cortex is one of several brain areas that when damaged produce anterograde amnesia.

iii. Precuneous The precuneus is located on the inside between the two cerebral hemispheres in the rear region between the somatosensory cortex and forward of the cuneus (which contains the visual cortex). It is above the posterior cingulate. Following Korbinian Brodmann it has traditionally been considered a homogeneous structure and with limited distinction between it and the neighboring posterior cingulate area. Brodmann mapped it as the medial continuation of lateral parietal area 7. Axon tracing research on macaque monkeys has established that it consists of three subdivisions which now have been confirmed by fMRI upon resting-state functional connectivity to also exist in humans (parallel fMRI research has also been done upon monkeys). The precuneus seems to be a recently expanded part of the brain, as in less developed primates such as New world monkeys "the superior parietal and precuneate regions are poorly developed".[1] It has been noted that "the precuneus is more highly developed (i.e. comprises a larger portion of the brain volume) in human beings than in non-human primates or other animals, has the most complex columnar cortical organization and is among the last regions to myelinate".The mental imagery concerning the self has been located in the forward part of the precuneus with posterior areas being involved with episodic memory. Another area has been linked to visuospatial imagery. (It is not though clear how these—and the functions noted below—link with the above three subdivisions.) Self Functional imaging has linked the precuneus to the processes involved in self-consciousness, such as reflective self-awareness, that involve rating ones own personality traits compared to those judged of other people.[ Memory The precuneus is involved in memory tasks, such as when people look at images and try to respond based on what they have remembered in regard to verbal questions about their spatial details.[8] It is involved with the left prefrontal cortex in the recall of episodic memories[9] including past episodes related to the self.[7] The precuneus is also involved in source memory (in which the "source" circumstances of a memory are recalled) with the left prefrontal cortex: here its role is suggested to be providing rich episodic contextual associations used by the prefrontal cortex to select the correct past memory.[10] In the recollection of memories, it has been suggested that the precuneus 'decides' whether context information exists that can be useful for involving the aid of the hippocampus.)

Literature review

1. TPJ attributing mental beliefs (33,34)

2. Mesial prefrontal – generating inferences about another person’s mental state and psychological characteristics (31,32)

3. PMC in social tasks(35) and episodic memory(36) has not been clarified. Neuropsych. Research suggests involvement in consciousness, specifically in the construction of self (37). ‘ in light of the evidence that simulation on one’s own self is an important means to understand others ( ref 38 review and 39-41) leads to the possibility that the experience of a & c would differentially engage the PMC.

Aims and hypotheses

To test whether and how areas of the brain involved in homeostatic regulation and consciousness would be involved during the feeling of different varieties of A & C , presumably with different patterns.

1. h1 A&C would engage nuclei in the brainstem and hypothalamus and somotosensory cortices in introceptive ( anterior insula) and extraceptive sectors ( somotosensory association areas including the superior parietal lobe and supramarginal gyrus)

2. h2 A&C would engage PMC

3. h3 activity in anterior insula would peak and dissipate more quickly for CPP than for CSP ( or varieties of admiration)

Method

Design

4 conditions AV,AS,CPP,CSP were experiementally induced by narratives based on episodes from the lives of real people. Supplemeted by audio/sill & live images. The control acondition was an enagaging, social and active narrative.

Protocol see I-Y including the use of psychophysiological (HR, RR) to identify which parts of the BOLD signal to analyse.

ERA (event related averages) and a bootstrap procedure were used to compare time-to-peak and duration of BOLD in insula, among conditions

Analysis

ANCOVA – to contrast BOLD from each condition

Results ( between condition analysis)

Average reported emotional strength during scanning

AS lower than other conditions

Psychophysiological

Respiration rate similar between all conditions

HR greater than control for AV & CSP and a trend for CPP but similar to AS. Led to the conclusion that it is unlikely that any differences in BOLD is due to arousal.

BOLD

Hypothalamus

Mesencephalon

Postmedullary junction

All conditions

Expected as these are regions which include nuclei involved in autonomic regulation

Medulla

AV & CSP

Anterior middle cingulate

Cortical areas that sense body, including anterior insula & supramraginal gyrus

All conditions

PMC area

Posterior cingulate

AS & CPP

Anterior cingulate, anterior insula,hypothalamus

AV &CSP

Homeostatic regulation

Inferior/posterior section of the PMC

AV and CSP

Interoceptive processing

Superior/anterior of PMC

AS & CPP

Musculoskeletal processing

ERA: Comparison of time courses based on % change in BOLD. CPP peaked more quickly and had a shorter duration.

Conclusions

i. The same homeostatic regulatory mechanisms are engaged in the experience of A & C i.e. social emotions use some of the same basic devices involved in primary emotions.

ii. In PMC AV & CSP were associated with strong activation in the inferior/posterior portion of PMC and area ( in the macaque monkey) that is strongly associated with the anterior middle cingulate cortex which is itself strongly connected with the insular cortex. In contrast AS and CPP showed activation in superior/anterior (AV &CSP also showed to a lesser degree). P8024 ‘ consistent with anatomical findings, our data suggest a functional subdivision in the PMC regarding emotional processing. Emotions related to someone else’s ‘psychological’ state ….may preferentially recruit a network ……. which are infiltrated with interoceptive information, by contrast emotions related to someone’s physical state …… may recruit a sector of PMC most connected with lateral parietal cortices suggesting a connection to exteroception and musculoskeletal information’

iii. ‘Overall these results suggest that the processing of social emotions is organised less around the kind of emotional response, be it compassionate or admiring, than around the contents and context of the situation’ ‘Although it is known that the anterior insula is involved in compassion for physical pain, our findings that activity in this region peaked more quickly and for a shorter duration during CPP than during CSP (and AV and AS) suggests that emotions about others’ physically painful predicaments co-opt neural mechanisms for personally experienced pain more efficiently and directly……………in order for emotions about the psychological situations of others to be induced and experienced, additional time may be needed for the introspective processing of culturally shaped knowledge. The rapidity and parallel processing of attention requiring information which hallmark the digital age, (WHOOPS see IY PNAS interview) might reduce the frequency of full experience of such emotions with potentially negative consequences’

Tuesday 3 August 2010

Horizon report 2010

Johnson,L., Levine,A., Smith,R., & Stone,S. (2010) The 2010 Horizon Report, Austin, Texas: The New Media Consortium.

http://digitalworlds.wordpress.com/about/

P3 technologies identified ‘embedded within a contemporary context that reflects the realities of the time both in the sphere of academia and the world at large’

Trends 2010-2015

1. ‘The abundance of resources and relationships made easily accessible via the internet’

2. ‘people expect to work, learn, & study wherever they want to’ logistics of balancing demands are increasingly complex so that there are implications for just in time, informal(found) learning.’

3. ‘The technologies we use are increasingly cloud-based and out notions of IT support are decentralized’

4. ‘The work of students is increasingly seen as collaborative by nature, and there is more cross-campus collaborations between departments

Challenges 2010-2015

1. ‘need for the academy to adapt teaching and learning practices to meet the needs of today’s learners’ i.e. emphasise critical inquiry and mental flexibility, application of learning to broad social issues and large complex problems’

2. digital scholarship – what metrics’

3. digital literacy ‘as technology continues to evolve, digital literacy must necessarily be less about tools and more about ways of thinking and seeing and crafting narrative’ need to prepare students appropriately

4. focus on key goals as a result of shrinking budgets. A good response would be to identify trends eg cloud computing can mitigate this effect.

Technologies to watch ( with timeframes for wide-spread adoption)

Mainstream , within 12 months

1. Mobile computing.

Raises concerns about privacy, classroom management, personal/other time, access, usability

2. Open Content

involves devising licences & metadata schemes. Ideas of social responsibility. Outgrowth ‘ the emergence of open-context textbooks that can be remixed. Currently open-context community is diffuse and distributed’ learning to find, access and repurpose is a ‘valuable skill for an emerging scholar’

inform a wide variety of learning modalities including the sheer joy of discovery! – CoPs have formed around open resources’

http://creativecommons.org

Medium within 2-3- years

3. Electronic books

p17 ‘Paper & ink, colour, font, type size, even the way pages are turned, are all customizable. Text is clear and crisp with enough contrast to make it easy to read, and the devices are comfortable to hold for long periods of time’

4. Augmented reality

Is ‘ establishing a foothold in the consumer sector, and in a form much easier to access than originally envisioned’

http://henryjenkins.org/2008/07/an-interview-with-eric-klopfer.html. Eric Klopfer is a games developer. Interview provides insight into why this area of AR has promise in education and beyond’

Longer term 4-5 years

5. Gesture based computing

‘devices controlled by natural movements of the finger, hand, arm or body. Game companies ……’ exploring the potential offered by consoles that do not require a hand-held controller but instead recognise and interpret body motions’

‘as we work with devices that react to us instead of requiring us to learn to work with them, our understanding of what it means to interact with computers is beginning to change’

examples are ipod/ipads & Nintendo Wii ‘accept input in the form of taps, swipes & other ways of touching.

P25

Iphone ‘additionally can react to manipulation of the device itself eg shaking, tilting. ‘ ‘we are seeing a gradual shift towards interfaces that adapt to – or are built for – human and human movements.

‘Apple’s Remote app for the iphone turns the mobile device into a remote control for the Apple TV; users can search, play ………..just by gliding a finger over the iphone’s surface’

i.e. p26 ‘machine responds to movements that feel natural ‘ also ‘gestural interfaces can often be used by more than one person at a time’

Some resources

Parkinson’s patients go to wii-hab

http://www.livescience.com/technology/090611-wii-parkinsons.html

Live Science, 11 June 2009

The Best Computer Interfaces: Past, Present and Future

http://www.technology.review.com/computing/22393/page/

http://delicious.com/tag/hz10+altinput

6. Visual data analysis

‘blend of statistics, data mining & visualisation’

Taps into p29 ‘the ability of humans to see patterns and structure in even the most complex visual presentations’

Gapminder ( http://www.gapminder.org) ? principal components analysis – analysis of multivariate datasets over time.

Many eyes, Wordle, Flwoing data, Gapminder, Roambi (http://newpolitical interfaces.org)

P30

‘VDA may help expand our understanding of learning itself. Learning is one of the most complex of social processes, with a myriad of variables interacting in ways that are not well understood, making it an ideal focus for the search for patterns’ it can also have value for the study of the foundation of learning communities.

http://www.insideria.com/2009/12/28-rich-data-visualization-too.html. Theresa Neil, O’Reilly’s Inside RIA, 10 December 2009)

lots of examples

http://www.visualcomplexity.com/vc

article http://net.educause.edu/ir/library/pdf/EL17052.pdf

http://delicious.com/tag/hz10+analytics