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Copyright © 2008 Gary J. Schummer PhD APC., and Brain Potential Inc. Unauthorized duplication or distribution is illegal. Overview of the Hudspeth Connectivity Analysis Gary J. Schummer, Ph.D. Neuropsychologist Clinical Director of the A.D.D. Treatment Center Torrance, California, U.S.A.
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Understanding hudspeth connectivity analysis

Oct 21, 2014

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Health & Medicine

For insight into helping treat autism with neurofeedback the connectivity work of William Hudspeth has been shown to be helpful. To help therapists with understanding this analysis I put together this PowerPoint presentation.
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Transcript
Page 1: Understanding hudspeth connectivity analysis

Copyright © 2008 Gary J. Schummer PhD APC., and Brain Potential Inc. Unauthorized duplication or distribution is illegal.

Overview of the Hudspeth Connectivity Analysis

Gary J. Schummer, Ph.D.

Neuropsychologist

Clinical Director of the A.D.D. Treatment Center

Torrance, California, U.S.A.

Page 2: Understanding hudspeth connectivity analysis

Copyright © 2008 Gary J. Schummer PhD APC., and Brain Potential Inc. Unauthorized duplication or distribution is illegal.

Typical Connectivity Report

Page 1 – The patient identification,

referral issue, test date, and an

intelligently chosen sample of EEG

Page 3: Understanding hudspeth connectivity analysis

xxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxx

Page 4: Understanding hudspeth connectivity analysis

Copyright © 2008 Gary J. Schummer PhD APC., and Brain Potential Inc. Unauthorized duplication or distribution is illegal.

Typical Connectivity Report

Page 1 – ID, referral issue, date, an

intelligently chosen sample of EEG

Page 2 – An analysis of the raw data

with the eyes closed

Page 5: Understanding hudspeth connectivity analysis
Page 6: Understanding hudspeth connectivity analysis

Copyright © 2008 Gary J. Schummer PhD APC., and Brain Potential Inc. Unauthorized duplication or distribution is illegal.

Typical Connectivity Report

Page 1 – ID, referral issue, date, an

intelligently chosen sample of EEG

Page 2 – Analysis of data eyes closed

Page 3 – A database comparison in

the eyes closed condition

Page 7: Understanding hudspeth connectivity analysis
Page 8: Understanding hudspeth connectivity analysis

Copyright © 2008 Gary J. Schummer PhD APC., and Brain Potential Inc. Unauthorized duplication or distribution is illegal.

Typical Connectivity Report

Page 1 – ID, referral issue, date, an

intelligently chosen sample of EEG

Page 2 – Analysis of data eyes closed

Page 3 – A database comparison in

the eyes closed condition

Page 4 – An analysis of the raw data

with the eyes open

Page 9: Understanding hudspeth connectivity analysis
Page 10: Understanding hudspeth connectivity analysis

Copyright © 2008 Gary J. Schummer PhD APC., and Brain Potential Inc. Unauthorized duplication or distribution is illegal.

Typical Connectivity Report

Page 1 – ID, referral issue, date, an intelligently chosen sample of EEG

Page 2 – Analysis of data eyes closed

Page 3 – A database comparison in the eyes closed condition

Page 4 – Analysis of data eyes open

Page 5 – A database comparison in the eyes open condition

Page 11: Understanding hudspeth connectivity analysis
Page 12: Understanding hudspeth connectivity analysis

Copyright © 2008 Gary J. Schummer PhD APC., and Brain Potential Inc. Unauthorized duplication or distribution is illegal.

“Normal” Connectivity Report (Raw, Adult)

Page 13: Understanding hudspeth connectivity analysis
Page 14: Understanding hudspeth connectivity analysis
Page 15: Understanding hudspeth connectivity analysis

EigenImage (From EO Norm)

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EigenImages

Derived from 3-dimensional

Principle Component’s Analysis

There are 4 principle components that account for the variance; 3 of the 4 sources of variance are able to be illustrated, the 4th is unknown:

1. Horizontal

2. Sagittal

3. Coronal

4. Unknown

Page 17: Understanding hudspeth connectivity analysis

.5 - 3.5 3.5 - 7 7 - 13 13 – 22 .5 – 22 Hz Hz Hz Hz Hz

Hudspeth Frequency Range Definitions

Page 18: Understanding hudspeth connectivity analysis

Horizontal – view from above (Cz) Sagittal – view from right side (T4) Coronal – view from in front (Fpz)

Views or Factors

Page 19: Understanding hudspeth connectivity analysis

New metric – shared variance between the percent distance of the vectors of the frontal areas. A measurement of how well the frontal areas are holding together Percent

Page 20: Understanding hudspeth connectivity analysis

The lower the number from the norm (~25-32%) the more the frontal sites cluster together and indicate hypercoherence

As the difference between a percentage approaches 10 (compared to its 4 neighbors) the greater the liklihood that the data for that frequency are invalid “norms” are in development

Page 21: Understanding hudspeth connectivity analysis

Midlines – 1 horizontal, 1 vertical per factor and per band

Page 22: Understanding hudspeth connectivity analysis

Normal

Abnormal Able to treat

Invalid Unable to treat

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r2 =The amount of variance explained by the Horizontal, Sagittal, and Coronal factors expressed as a percentage The higher the percentage, the better

“Total” is typically lowest

r2 – sum of factors

Page 24: Understanding hudspeth connectivity analysis

Indication of likely source of artifact or site that

is highly deviant

Note – these do not appear in a “normal” image

Page 25: Understanding hudspeth connectivity analysis

These could be valid, but it’s a hint to check the

raw EEG for artifact

Note F7 and F8 are typical areas of muscle tension

Page 26: Understanding hudspeth connectivity analysis

Invalid Unable to treat

May indicate the source of the invalidity

Note T5

Page 27: Understanding hudspeth connectivity analysis

QUESTIONS ABOUT THE EIGENIMAGE ??

Page 28: Understanding hudspeth connectivity analysis
Page 29: Understanding hudspeth connectivity analysis

% Shared Variance

What it’s NOT:

– NOT derived from the same computation as the EigenImages

– NOT a 3- dimensional analyses

– NOT derived from Principle Components Analysis

Page 30: Understanding hudspeth connectivity analysis

% Shared Variance

What it is:

A multivariate measure of coherence within a 2-dimensional plane

Hudspeth’s “% Shared Variance” measures are more similar to the coherence readings given in NxLink and Neuroguide than they are to the EigenImages

Of course, there will be similarities between the EigenImages and the %Shared Variance

Page 31: Understanding hudspeth connectivity analysis

Intra (hemispheric) - each site’s percent of shared variance with 7 sites in the same hemisphere including the 3 midline sites; total 10

Inter (hemispheric) - each site’s percent of shared variance with all 8 sites in the opposite hemisphere

Each Midline site is compared with all other sites; total of 18

Copyright © 2008 Gary J. Schummer PhD APC., and Brain Potential Inc. Unauthorized duplication or distribution is illegal.

Page 32: Understanding hudspeth connectivity analysis

Each Midline site

Fz

Cz

Pz

TOTAL Intrahemispheric

% Shared Variance

Page 33: Understanding hudspeth connectivity analysis

is compared with the other 18 sites

Fz

Each Midline site

TOTAL Intrahemispheric

% Shared Variance

Page 34: Understanding hudspeth connectivity analysis

Fz-Fp2

Page 35: Understanding hudspeth connectivity analysis

To give a number which indicates the strength of that site, relative to the other 18

Page 36: Understanding hudspeth connectivity analysis

Each Midline sight is compared with all other sites; total of 18

Copyright © 2008 Gary J. Schummer PhD APC., and Brain Potential Inc. Unauthorized duplication or distribution is illegal.

Page 37: Understanding hudspeth connectivity analysis

Each Midline sight is compared with all other sites; total of 18

Copyright © 2008 Gary J. Schummer PhD APC., and Brain Potential Inc. Unauthorized duplication or distribution is illegal.

Page 38: Understanding hudspeth connectivity analysis

Each Midline sight is compared with all other sites; total of 18

Copyright © 2008 Gary J. Schummer PhD APC., and Brain Potential Inc. Unauthorized duplication or distribution is illegal.

Page 39: Understanding hudspeth connectivity analysis

Intra (hemispheric) - each site’s percent of shared variance with 7 sites in the same hemisphere including the 3 midline sites; total 10

Inter (hemispheric) - each site’s percent of shared variance with all 8 sites in the opposite hemisphere

Each Midline sight is compared with all other sites; total of 18

Copyright © 2008 Gary J. Schummer PhD APC., and Brain Potential Inc. Unauthorized duplication or distribution is illegal.

Page 40: Understanding hudspeth connectivity analysis

Intra (hemispheric) - each site’s percent of shared variance with 7 sites in the same hemisphere including the 3 midline sites; total 10

Inter (hemispheric) - each site’s percent of shared variance with all 8 sites in the opposite hemisphere

Each Midline sight is compared with all other sites; total of 18

Copyright © 2008 Gary J. Schummer PhD APC., and Brain Potential Inc. Unauthorized duplication or distribution is illegal.

Page 41: Understanding hudspeth connectivity analysis

% Shared Variance From EO Normal

Note the outside percentages are typically lower than sites closer to the midline - because they have fewer “neighbors”

Page 42: Understanding hudspeth connectivity analysis

Z-Score comparison to the database

Z-Score comparison expressed as a percentile

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Intra – each site’s Z-Score or Percentile relative to the other 7 sites in the same hemisphere plus the 3 midline sites (Total of 10)

Inter – each site’s Z-Score or Percentile relative to the 8 sites in the opposite hemisphere

Midline sites are compared with all other sites (Total of 18)

Page 44: Understanding hudspeth connectivity analysis

Questions?