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Internet Addiction and The
          Brain

        EITANNEUMARK
          EMILY PAUP
Agenda

 Background
 Survey
 Internet Addiction Forbes article
 Microstructure Abnormalities in Adolescents with
  Internet Addiction Disorder
 The Relationships Between Internet Addiction,
  Subjective Vitality, and Subjective Happiness
 Discussion
What is IAD?
 Internet overuse to a point where it interferes with
  daily life
Do you have IAD?

 (1) Do you feel absorbed in the Internet (remember previous
    online activity or the desired next online session)?
   (2) Do you feel satisfied with Internet use if you increase your
    amount of online time?
   (3) Have you failed to control, reduce, or quit Internet use
    repeatedly?
   (4) Do you feel nervous, temperamental, depressed, or sensitive
    when trying to reduce or quit Internet use?
   (5) Do you stay online longer than originally intended?
   (6) Have you taken the risk of losing a significant relationship,
    job, educational or career opportunity because of the Internet?
    (7) Have you lied to your family members, therapist, or others to
    hide the truth of your involvement with the Internet?
   (8) Do you use the Internet as a way of escaping from problems
    or of relieving an anxious mood (e.g., feelings of helplessness,
    guilty, anxiety, or depression)?
General Information From Article

 IAD leads to decreased volume in certain brain
  regions, many similar brain regions implicated in
  other addictions (gambling, substances, etc.)
 Affected areas also crucial to emotional processing,
  executive thinking skills and attention, cognitive
  control
 People with IAD may have other significant
  problems in life
Discussion Question




Should Internet Addiction
Disorder be included in the
         DSM-V?
Previous Research

 Neural substrates of online gaming addiction:
    Right orbitofrontal cortex (rOFC), right nucleus accumbens, bilateral anterior
     cingulate cortex (ACC), medial frontal cortex (MFC), dorsolateral prefrontal
     cortex (DLPFC)
 IAD in Chinese youths:
    14% incidence rate, 24 million youths total
    Adolescents with IAD shown to have more impulsivity, lowered inhibition ability
 Brain abnormalities:
    Lower grey matter density in lACC, left posterior cingulate cortex, left insula, left
     lingual gyrus
    Increased regional homogeneity in right cingulate gyrus, bilateral
     parahippocampus
 Treatments:
    Regimented schedules, strict discipline, electric shock therapy
Discussion Question




What are other possible
 treatments for IAD?
Microstructure Abnormalities in Adolescents
         with Internet Addiction Disorder

 Chinese study looking at possible brain
    abnormalities with IAD
   Freshman and Sophomore in college aged
   18 healthy controls, spent less than 2 hours a day
   18 in experiment condition, pre-screened to see
    whether they have IAD or not (spent 10.2 +/- 2.6
    hours per day online gaming)
   Talked to parents and friends on phone to confirm
    internet habits
Subjects
Brain Imaging Methods

 Voxel Based Morphometry
     Used to look at variances in grey matter by region
 Diffusion Tensor Imaging
   MRI technique measuring restricted diffusion of water

   Produces neural tract images

   Calculated Fractional Anisotrophy in each voxel to look at
    level of diffusion
   Range of FA: 0-1
   Smaller FA Value  more diffusion, less coherence
Results VBM

 Decreased grey matter volume
   Dorsolateral prefrontal cortex (DLPFC), supplementary motor
    area (SMA), orbitofrontal cortex (OFC), cerebellum, left rostral
    anterior cingulate cortex (rACC)
 Negative correlation with gray matter & months
  addicted to internet
     Right DLPFC, the left rACC and the right SMA
 No higher grey matter regions when compared to
  healthy subjects
Implications

 DLPFC and rACC largely important for cognitive control
    DLPFC responsible for top-down regulatory processes of cognitive
     control
 Cognitive Control
    Neural mechanisms for actively maintaining information such as
     goals, instructions, plans, or events for short periods of time & using
     the information to appropriately guide and control behavior
 Deactivation in rACC shown in heroin and cocaine users
    Long term drug addiction leads to decreased cognitive control
 Conflict-monitoring hypothesis
    Response conflict is signaled by the rACC, recruits DLPFC for future
     performance
Implications cont…

 Orbitofrontalcortex contributes to goal-directed
 behavior
    Integrated with subcorticalareas associated with motivational
     behavior and reward processing
    Assessing significance of stimuli and selecting behavior to
     obtain desired outcome
 SMA important for selecting to execute/inhibit
  behaviors
 Cerebellum: higher order cognitive functions
    Working memory and inhibiting inappropriate behavior
Results DTI

 Enhanced FA in posterior limb of the interior
 capsule (PLIC)
    Internal capsule = white matter separating the caudate nucleus
     and the thalamus from the putamen&globuspallidus
 Reduced FA in parahippocampalgyrus (PHG)
 Positive correlation between FA in PLIC and
 duration of IAD
Implications

 Parahippocampalgyrus
    Involved in memory encoding and retrieval, processing sensory info,
     cognitive and emotional recognition, maintenance of working
     memory
 Working memory
    Lower FA number could cause all aspects of PHG to be impaired-
     especially WM
    Abnormal white matter amounts could also account for deficits
 Enhanced value in PLIC
    Repetitive motor actions while online (mouse clicking, etc..) could
     change structure
    Interference with cognitive and executive functions, tracts
     connecting frontal and subcortical brain regions go through IC
Limitations

 Small sample size
 All freshman & sophomores in college
 All Chinese citizens
 Structural abnormalities could result from IAD, but
 could also be the cause
    Need further studies to determine difference
The Internet, Subjective Happiness, and
                    Subjective Vitality

 Three Parameters
   Subjective Happiness
         Psychological state of well-being, joy, and contentment
     Subjective Vitality
         Subjective experience of being full of energy and alive
     Internet addiction
 Subjects
   328 Turkish university students, ages 17-30
Results

 Internet addiction negatively predicted vitality and
  happiness
 Vitality mediated relationship between internet
  addiction and happiness
    If you have high vitality, can still be addicted to the internet
     and be happy
    If individuals increase vitality, may decrease internet addiction
Conclusion

 IAD is a fairly new concept, most research has been
    tailored towards young people
   Look at long-term effects of IAD
   Colleges should encourage healthy and timely use of
    the internet
   Too much time spent on the internet can be greatly
    problematic
   Still a problem with much to explore
Do you think the addictive
   powers of the Internet
parallel the addictive powers
       of substances?
Any questions?

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Internet Addiction

  • 1. Internet Addiction and The Brain EITANNEUMARK EMILY PAUP
  • 2. Agenda  Background  Survey  Internet Addiction Forbes article  Microstructure Abnormalities in Adolescents with Internet Addiction Disorder  The Relationships Between Internet Addiction, Subjective Vitality, and Subjective Happiness  Discussion
  • 3. What is IAD?  Internet overuse to a point where it interferes with daily life
  • 4. Do you have IAD?  (1) Do you feel absorbed in the Internet (remember previous online activity or the desired next online session)?  (2) Do you feel satisfied with Internet use if you increase your amount of online time?  (3) Have you failed to control, reduce, or quit Internet use repeatedly?  (4) Do you feel nervous, temperamental, depressed, or sensitive when trying to reduce or quit Internet use?  (5) Do you stay online longer than originally intended?  (6) Have you taken the risk of losing a significant relationship, job, educational or career opportunity because of the Internet?  (7) Have you lied to your family members, therapist, or others to hide the truth of your involvement with the Internet?  (8) Do you use the Internet as a way of escaping from problems or of relieving an anxious mood (e.g., feelings of helplessness, guilty, anxiety, or depression)?
  • 5. General Information From Article  IAD leads to decreased volume in certain brain regions, many similar brain regions implicated in other addictions (gambling, substances, etc.)  Affected areas also crucial to emotional processing, executive thinking skills and attention, cognitive control  People with IAD may have other significant problems in life
  • 6. Discussion Question Should Internet Addiction Disorder be included in the DSM-V?
  • 7. Previous Research  Neural substrates of online gaming addiction:  Right orbitofrontal cortex (rOFC), right nucleus accumbens, bilateral anterior cingulate cortex (ACC), medial frontal cortex (MFC), dorsolateral prefrontal cortex (DLPFC)  IAD in Chinese youths:  14% incidence rate, 24 million youths total  Adolescents with IAD shown to have more impulsivity, lowered inhibition ability  Brain abnormalities:  Lower grey matter density in lACC, left posterior cingulate cortex, left insula, left lingual gyrus  Increased regional homogeneity in right cingulate gyrus, bilateral parahippocampus  Treatments:  Regimented schedules, strict discipline, electric shock therapy
  • 8. Discussion Question What are other possible treatments for IAD?
  • 9. Microstructure Abnormalities in Adolescents with Internet Addiction Disorder  Chinese study looking at possible brain abnormalities with IAD  Freshman and Sophomore in college aged  18 healthy controls, spent less than 2 hours a day  18 in experiment condition, pre-screened to see whether they have IAD or not (spent 10.2 +/- 2.6 hours per day online gaming)  Talked to parents and friends on phone to confirm internet habits
  • 11. Brain Imaging Methods  Voxel Based Morphometry  Used to look at variances in grey matter by region  Diffusion Tensor Imaging  MRI technique measuring restricted diffusion of water  Produces neural tract images  Calculated Fractional Anisotrophy in each voxel to look at level of diffusion  Range of FA: 0-1  Smaller FA Value  more diffusion, less coherence
  • 12. Results VBM  Decreased grey matter volume  Dorsolateral prefrontal cortex (DLPFC), supplementary motor area (SMA), orbitofrontal cortex (OFC), cerebellum, left rostral anterior cingulate cortex (rACC)  Negative correlation with gray matter & months addicted to internet  Right DLPFC, the left rACC and the right SMA  No higher grey matter regions when compared to healthy subjects
  • 13.
  • 14. Implications  DLPFC and rACC largely important for cognitive control  DLPFC responsible for top-down regulatory processes of cognitive control  Cognitive Control  Neural mechanisms for actively maintaining information such as goals, instructions, plans, or events for short periods of time & using the information to appropriately guide and control behavior  Deactivation in rACC shown in heroin and cocaine users  Long term drug addiction leads to decreased cognitive control  Conflict-monitoring hypothesis  Response conflict is signaled by the rACC, recruits DLPFC for future performance
  • 15. Implications cont…  Orbitofrontalcortex contributes to goal-directed behavior  Integrated with subcorticalareas associated with motivational behavior and reward processing  Assessing significance of stimuli and selecting behavior to obtain desired outcome  SMA important for selecting to execute/inhibit behaviors  Cerebellum: higher order cognitive functions  Working memory and inhibiting inappropriate behavior
  • 16. Results DTI  Enhanced FA in posterior limb of the interior capsule (PLIC)  Internal capsule = white matter separating the caudate nucleus and the thalamus from the putamen&globuspallidus  Reduced FA in parahippocampalgyrus (PHG)  Positive correlation between FA in PLIC and duration of IAD
  • 17.
  • 18. Implications  Parahippocampalgyrus  Involved in memory encoding and retrieval, processing sensory info, cognitive and emotional recognition, maintenance of working memory  Working memory  Lower FA number could cause all aspects of PHG to be impaired- especially WM  Abnormal white matter amounts could also account for deficits  Enhanced value in PLIC  Repetitive motor actions while online (mouse clicking, etc..) could change structure  Interference with cognitive and executive functions, tracts connecting frontal and subcortical brain regions go through IC
  • 19. Limitations  Small sample size  All freshman & sophomores in college  All Chinese citizens  Structural abnormalities could result from IAD, but could also be the cause  Need further studies to determine difference
  • 20. The Internet, Subjective Happiness, and Subjective Vitality  Three Parameters  Subjective Happiness  Psychological state of well-being, joy, and contentment  Subjective Vitality  Subjective experience of being full of energy and alive  Internet addiction  Subjects  328 Turkish university students, ages 17-30
  • 21. Results  Internet addiction negatively predicted vitality and happiness  Vitality mediated relationship between internet addiction and happiness  If you have high vitality, can still be addicted to the internet and be happy  If individuals increase vitality, may decrease internet addiction
  • 22. Conclusion  IAD is a fairly new concept, most research has been tailored towards young people  Look at long-term effects of IAD  Colleges should encourage healthy and timely use of the internet  Too much time spent on the internet can be greatly problematic  Still a problem with much to explore
  • 23. Do you think the addictive powers of the Internet parallel the addictive powers of substances?