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Local field potentials of subthalamic nucleus contain electrophysiological footprints of motor subtypes of Parkinson’s disease

Overview of attention for article published in Proceedings of the National Academy of Sciences of the United States of America, August 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (51st percentile)

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1 news outlet
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16 X users

Citations

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59 Dimensions

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157 Mendeley
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1 CiteULike
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Title
Local field potentials of subthalamic nucleus contain electrophysiological footprints of motor subtypes of Parkinson’s disease
Published in
Proceedings of the National Academy of Sciences of the United States of America, August 2018
DOI 10.1073/pnas.1810589115
Pubmed ID
Authors

Ilknur Telkes, Ashwin Viswanathan, Joohi Jimenez-Shahed, Aviva Abosch, Musa Ozturk, Akshay Gupte, Joseph Jankovic, Nuri F. Ince

Abstract

Although motor subtypes of Parkinson's disease (PD), such as tremor dominant (TD) and postural instability and gait difficulty (PIGD), have been defined based on symptoms since the mid-1990s, no underlying neural correlates of these clinical subtypes have yet been identified. Very limited data exist regarding the electrophysiological abnormalities within the subthalamic nucleus (STN) that likely accompany the symptom severity or the phenotype of PD. Here, we show that activity in subbands of local field potentials (LFPs) recorded with multiple microelectrodes from subterritories of STN provide distinguishing neurophysiological information about the motor subtypes of PD. We studied 24 patients with PD and found distinct patterns between TD (n = 13) and PIGD (n = 11) groups in high-frequency oscillations (HFOs) and their nonlinear interactions with beta band in the superior and inferior regions of the STN. Particularly, in the superior region of STN, the power of the slow HFO (sHFO) (200-260 Hz) and the coupling of its amplitude with beta-band phase were significantly stronger in the TD group. The inferior region of STN exhibited fast HFOs (fHFOs) (260-450 Hz), which have a significantly higher center frequency in the PIGD group. The cross-frequency coupling between fHFOs and beta band in the inferior region of STN was significantly stronger in the PIGD group. Our results indicate that the spatiospectral dynamics of STN-LFPs can be used as an objective method to distinguish these two motor subtypes of PD. These observations might lead to the development of sensing and stimulation strategies targeting the subterritories of STN for the personalization of deep-brain stimulation (DBS).

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X Demographics

The data shown below were collected from the profiles of 16 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 157 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 157 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 35 22%
Student > Ph. D. Student 22 14%
Student > Master 17 11%
Student > Bachelor 11 7%
Student > Doctoral Student 11 7%
Other 21 13%
Unknown 40 25%
Readers by discipline Count As %
Neuroscience 34 22%
Medicine and Dentistry 18 11%
Engineering 18 11%
Agricultural and Biological Sciences 9 6%
Biochemistry, Genetics and Molecular Biology 4 3%
Other 18 11%
Unknown 56 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 05 September 2022.
All research outputs
#2,312,530
of 24,622,191 outputs
Outputs from Proceedings of the National Academy of Sciences of the United States of America
#27,238
of 101,438 outputs
Outputs of similar age
#46,693
of 338,147 outputs
Outputs of similar age from Proceedings of the National Academy of Sciences of the United States of America
#441
of 916 outputs
Altmetric has tracked 24,622,191 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 101,438 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 38.8. This one has gotten more attention than average, scoring higher than 73% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 338,147 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 916 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.