Literature DB >> 16029215

Reciprocal interactions between oscillatory activities of different frequencies in the subthalamic region of patients with Parkinson's disease.

Noa Fogelson1, Alek Pogosyan, Andrea A Kühn, Andreas Kupsch, Gerard van Bruggen, Hans Speelman, Marina Tijssen, Angelo Quartarone, Angelo Insola, Paolo Mazzone, Vincenzo Di Lazzaro, Patricia Limousin, Peter Brown.   

Abstract

Synchronization of neuronal activity evident in the local field potential (LFP) recorded in the subthalamic region of patients with Parkinson's disease occurs at low frequencies (< 30 Hz) and, in some patients following treatment with levodopa, at high frequencies between 65 and 85 Hz. Here we investigate the functional relationship between these different activities by determining whether spontaneous fluctuations in their strength are correlated across time. To this end, we analysed recordings of LFPs from macroelectrodes inserted in the subthalamic area of 16 patients with Parkinson's disease, after treatment with anti-parkinsonian medication. Time-evolving autospectra of LFPs with significant 65-85 Hz peaks (from 21 sides) were computed and correlations between frequency components determined over time. LFP activity in the 5-32 Hz band was significantly negatively correlated with that in the 65-85 Hz band in data averaged across all 21 sides, as well as in 15 (71%) of the individual records. Negative correlations were relatively selective for interactions between these frequency bands and occurred over time epochs of as little as 40 s. They occurred about 50 min after levodopa and were recorded concurrently with contralateral levodopa-induced dyskinesias in all but four cases. Positive correlations were not seen between activities in the 5-32 Hz and 65-85 Hz bands. The spontaneous negative correlations suggest a reciprocal relationship between population synchrony in the high- and low-frequency ranges, and raise the possibility that spontaneous fluctuations in the balance between these activities may contribute to levodopa-induced dyskinesias.

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Year:  2005        PMID: 16029215     DOI: 10.1111/j.1460-9568.2005.04179.x

Source DB:  PubMed          Journal:  Eur J Neurosci        ISSN: 0953-816X            Impact factor:   3.386


  29 in total

1.  Dopamine-dependent non-linear correlation between subthalamic rhythms in Parkinson's disease.

Authors:  S Marceglia; G Foffani; A M Bianchi; G Baselli; F Tamma; M Egidi; A Priori
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2.  Activity parameters of subthalamic nucleus neurons selectively predict motor symptom severity in Parkinson's disease.

Authors:  Andrew Sharott; Alessandro Gulberti; Simone Zittel; Adam A Tudor Jones; Ulrich Fickel; Alexander Münchau; Johannes A Köppen; Christian Gerloff; Manfred Westphal; Carsten Buhmann; Wolfgang Hamel; Andreas K Engel; Christian K E Moll
Journal:  J Neurosci       Date:  2014-04-30       Impact factor: 6.167

3.  Beta band oscillations in motor cortex reflect neural population signals that delay movement onset.

Authors:  Preeya Khanna; Jose M Carmena
Journal:  Elife       Date:  2017-05-03       Impact factor: 8.140

4.  Enhanced functional synchronization of medial and lateral PFC underlies internally-guided action planning.

Authors:  Keren Rosenberg-Katz; Shahar Jamshy; Neomi Singer; Ilana Podlipsky; Svetlana Kipervasser; Fani Andelman; Miri Y Neufeld; Nathan Intrator; Itzhak Fried; Talma Hendler
Journal:  Front Hum Neurosci       Date:  2012-04-12       Impact factor: 3.169

5.  Beta frequency synchronization in basal ganglia output during rest and walk in a hemiparkinsonian rat.

Authors:  Irene Avila; Louise C Parr-Brownlie; Elena Brazhnik; Edward Castañeda; Debra A Bergstrom; Judith R Walters
Journal:  Exp Neurol       Date:  2009-12-04       Impact factor: 5.330

6.  Fast oscillations in cortical-striatal networks switch frequency following rewarding events and stimulant drugs.

Authors:  J D Berke
Journal:  Eur J Neurosci       Date:  2009-07-31       Impact factor: 3.386

7.  Prediction of mild parkinsonism revealed by neural oscillatory changes and machine learning.

Authors:  Joyce Chelangat Bore; Brett A Campbell; Hanbin Cho; Raghavan Gopalakrishnan; Andre G Machado; Kenneth B Baker
Journal:  J Neurophysiol       Date:  2020-10-14       Impact factor: 2.714

Review 8.  High Frequency Deep Brain Stimulation and Neural Rhythms in Parkinson's Disease.

Authors:  Zack Blumenfeld; Helen Brontë-Stewart
Journal:  Neuropsychol Rev       Date:  2015-11-25       Impact factor: 7.444

9.  Resonance in subthalamo-cortical circuits in Parkinson's disease.

Authors:  Alexandre Eusebio; Alek Pogosyan; Shouyan Wang; Bruno Averbeck; Louise Doyle Gaynor; Stéphanie Cantiniaux; Tatiana Witjas; Patricia Limousin; Jean-Philippe Azulay; Peter Brown
Journal:  Brain       Date:  2009-04-15       Impact factor: 13.501

10.  Movement-related changes in local and long-range synchronization in Parkinson's disease revealed by simultaneous magnetoencephalography and intracranial recordings.

Authors:  Vladimir Litvak; Alexandre Eusebio; Ashwani Jha; Robert Oostenveld; Gareth Barnes; Tom Foltynie; Patricia Limousin; Ludvic Zrinzo; Marwan I Hariz; Karl Friston; Peter Brown
Journal:  J Neurosci       Date:  2012-08-01       Impact factor: 6.167

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