Graph theory network function in Parkinson's disease assessed with electroencephalography

Rene L Utianski, John N Caviness, Elisabeth C W van Straaten, Thomas G Beach, Brittany N Dugger, Holly A Shill, Erika D Driver-Dunckley, Marwan N Sabbagh, Shyamal Mehta, Charles H Adler, Joseph G Hentz

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

OBJECTIVES: To determine what differences exist in graph theory network measures derived from electroencephalography (EEG), between Parkinson's disease (PD) patients who are cognitively normal (PD-CN) and matched healthy controls; and between PD-CN and PD dementia (PD-D).

METHODS: EEG recordings were analyzed via graph theory network analysis to quantify changes in global efficiency and local integration. This included minimal spanning tree analysis. T-tests and correlations were used to assess differences between groups and assess the relationship with cognitive performance.

RESULTS: Network measures showed increased local integration across all frequency bands between control and PD-CN; in contrast, decreased local integration occurred in PD-D when compared to PD-CN in the alpha1 frequency band. Differences found in PD-MCI mirrored PD-D. Correlations were found between network measures and assessments of global cognitive performance in PD.

CONCLUSIONS: Our results reveal distinct patterns of band and network measure type alteration and breakdown for PD, as well as with cognitive decline in PD.

SIGNIFICANCE: These patterns suggest specific ways that interaction between cortical areas becomes abnormal and contributes to PD symptoms at various stages. Graph theory analysis by EEG suggests that network alteration and breakdown are robust attributes of PD cortical dysfunction pathophysiology.

Original languageEnglish
Pages (from-to)2228-2836
Number of pages9
JournalClinical Neurophysiology
Volume127
Issue number5
DOIs
Publication statusPublished - 2016

Cite this

Utianski, R. L., Caviness, J. N., van Straaten, E. C. W., Beach, T. G., Dugger, B. N., Shill, H. A., ... Hentz, J. G. (2016). Graph theory network function in Parkinson's disease assessed with electroencephalography. Clinical Neurophysiology, 127(5), 2228-2836. https://doi.org/10.1016/j.clinph.2016.02.017
Utianski, Rene L ; Caviness, John N ; van Straaten, Elisabeth C W ; Beach, Thomas G ; Dugger, Brittany N ; Shill, Holly A ; Driver-Dunckley, Erika D ; Sabbagh, Marwan N ; Mehta, Shyamal ; Adler, Charles H ; Hentz, Joseph G. / Graph theory network function in Parkinson's disease assessed with electroencephalography. In: Clinical Neurophysiology. 2016 ; Vol. 127, No. 5. pp. 2228-2836.
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title = "Graph theory network function in Parkinson's disease assessed with electroencephalography",
abstract = "OBJECTIVES: To determine what differences exist in graph theory network measures derived from electroencephalography (EEG), between Parkinson's disease (PD) patients who are cognitively normal (PD-CN) and matched healthy controls; and between PD-CN and PD dementia (PD-D).METHODS: EEG recordings were analyzed via graph theory network analysis to quantify changes in global efficiency and local integration. This included minimal spanning tree analysis. T-tests and correlations were used to assess differences between groups and assess the relationship with cognitive performance.RESULTS: Network measures showed increased local integration across all frequency bands between control and PD-CN; in contrast, decreased local integration occurred in PD-D when compared to PD-CN in the alpha1 frequency band. Differences found in PD-MCI mirrored PD-D. Correlations were found between network measures and assessments of global cognitive performance in PD.CONCLUSIONS: Our results reveal distinct patterns of band and network measure type alteration and breakdown for PD, as well as with cognitive decline in PD.SIGNIFICANCE: These patterns suggest specific ways that interaction between cortical areas becomes abnormal and contributes to PD symptoms at various stages. Graph theory analysis by EEG suggests that network alteration and breakdown are robust attributes of PD cortical dysfunction pathophysiology.",
keywords = "Aged, Aged, 80 and over, Brain, Cognition Disorders, Disease Progression, Electroencephalography, Humans, Nerve Net, Neuropsychological Tests, Parkinson Disease, Journal Article, Research Support, N.I.H., Extramural, Research Support, Non-U.S. Gov't",
author = "Utianski, {Rene L} and Caviness, {John N} and {van Straaten}, {Elisabeth C W} and Beach, {Thomas G} and Dugger, {Brittany N} and Shill, {Holly A} and Driver-Dunckley, {Erika D} and Sabbagh, {Marwan N} and Shyamal Mehta and Adler, {Charles H} and Hentz, {Joseph G}",
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year = "2016",
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language = "English",
volume = "127",
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Utianski, RL, Caviness, JN, van Straaten, ECW, Beach, TG, Dugger, BN, Shill, HA, Driver-Dunckley, ED, Sabbagh, MN, Mehta, S, Adler, CH & Hentz, JG 2016, 'Graph theory network function in Parkinson's disease assessed with electroencephalography' Clinical Neurophysiology, vol. 127, no. 5, pp. 2228-2836. https://doi.org/10.1016/j.clinph.2016.02.017

Graph theory network function in Parkinson's disease assessed with electroencephalography. / Utianski, Rene L; Caviness, John N; van Straaten, Elisabeth C W; Beach, Thomas G; Dugger, Brittany N; Shill, Holly A; Driver-Dunckley, Erika D; Sabbagh, Marwan N; Mehta, Shyamal; Adler, Charles H; Hentz, Joseph G.

In: Clinical Neurophysiology, Vol. 127, No. 5, 2016, p. 2228-2836.

Research output: Contribution to journalArticleAcademicpeer-review

TY - JOUR

T1 - Graph theory network function in Parkinson's disease assessed with electroencephalography

AU - Utianski, Rene L

AU - Caviness, John N

AU - van Straaten, Elisabeth C W

AU - Beach, Thomas G

AU - Dugger, Brittany N

AU - Shill, Holly A

AU - Driver-Dunckley, Erika D

AU - Sabbagh, Marwan N

AU - Mehta, Shyamal

AU - Adler, Charles H

AU - Hentz, Joseph G

N1 - Copyright © 2016 International Federation of Clinical Neurophysiology. Published by Elsevier Ireland Ltd. All rights reserved.

PY - 2016

Y1 - 2016

N2 - OBJECTIVES: To determine what differences exist in graph theory network measures derived from electroencephalography (EEG), between Parkinson's disease (PD) patients who are cognitively normal (PD-CN) and matched healthy controls; and between PD-CN and PD dementia (PD-D).METHODS: EEG recordings were analyzed via graph theory network analysis to quantify changes in global efficiency and local integration. This included minimal spanning tree analysis. T-tests and correlations were used to assess differences between groups and assess the relationship with cognitive performance.RESULTS: Network measures showed increased local integration across all frequency bands between control and PD-CN; in contrast, decreased local integration occurred in PD-D when compared to PD-CN in the alpha1 frequency band. Differences found in PD-MCI mirrored PD-D. Correlations were found between network measures and assessments of global cognitive performance in PD.CONCLUSIONS: Our results reveal distinct patterns of band and network measure type alteration and breakdown for PD, as well as with cognitive decline in PD.SIGNIFICANCE: These patterns suggest specific ways that interaction between cortical areas becomes abnormal and contributes to PD symptoms at various stages. Graph theory analysis by EEG suggests that network alteration and breakdown are robust attributes of PD cortical dysfunction pathophysiology.

AB - OBJECTIVES: To determine what differences exist in graph theory network measures derived from electroencephalography (EEG), between Parkinson's disease (PD) patients who are cognitively normal (PD-CN) and matched healthy controls; and between PD-CN and PD dementia (PD-D).METHODS: EEG recordings were analyzed via graph theory network analysis to quantify changes in global efficiency and local integration. This included minimal spanning tree analysis. T-tests and correlations were used to assess differences between groups and assess the relationship with cognitive performance.RESULTS: Network measures showed increased local integration across all frequency bands between control and PD-CN; in contrast, decreased local integration occurred in PD-D when compared to PD-CN in the alpha1 frequency band. Differences found in PD-MCI mirrored PD-D. Correlations were found between network measures and assessments of global cognitive performance in PD.CONCLUSIONS: Our results reveal distinct patterns of band and network measure type alteration and breakdown for PD, as well as with cognitive decline in PD.SIGNIFICANCE: These patterns suggest specific ways that interaction between cortical areas becomes abnormal and contributes to PD symptoms at various stages. Graph theory analysis by EEG suggests that network alteration and breakdown are robust attributes of PD cortical dysfunction pathophysiology.

KW - Aged

KW - Aged, 80 and over

KW - Brain

KW - Cognition Disorders

KW - Disease Progression

KW - Electroencephalography

KW - Humans

KW - Nerve Net

KW - Neuropsychological Tests

KW - Parkinson Disease

KW - Journal Article

KW - Research Support, N.I.H., Extramural

KW - Research Support, Non-U.S. Gov't

U2 - 10.1016/j.clinph.2016.02.017

DO - 10.1016/j.clinph.2016.02.017

M3 - Article

VL - 127

SP - 2228

EP - 2836

JO - Clinical Neurophysiology

JF - Clinical Neurophysiology

SN - 1388-2457

IS - 5

ER -