scholarly journals Subthalamic nucleus and sensorimotor cortex activity during speech production

2018 ◽  
Author(s):  
A Chrabaszcz ◽  
WJ Neumann ◽  
O Stretcu ◽  
WJ Lipski ◽  
A Bush ◽  
...  

ABSTRACTThe sensorimotor cortex is somatotopically organized to represent the vocal tract articulators, such as lips, tongue, larynx, and jaw. How speech and articulatory features are encoded at the subcortical level, however, remains largely unknown. We analyzed local field potential (LFP) recordings from the subthalamic nucleus (STN) and simultaneous electrocorticography recordings from the sensorimotor cortex of 11 patients (1 female) with Parkinson’s disease during implantation of deep brain stimulation (DBS) electrodes, while patients read aloud three-phoneme words. The initial phonemes involved either articulation primarily with the tongue (coronal consonants) or the lips (labial consonants). We observed significant increases in high gamma (60–150 Hz) power in both the STN and the sensorimotor cortex that began before speech onset and persisted for the duration of speech articulation. As expected from previous reports, in the sensorimotor cortex, the primary articulator involved in the production of the initial consonant was topographically represented by high gamma activity. We found that STN high gamma activity also demonstrated specificity for the primary articulator, although no clear topography was observed. In general, subthalamic high gamma activity varied along the ventral-dorsal trajectory of the electrodes, with greater high gamma power recorded in the more dorsal locations of the STN. These results demonstrate that articulator-specific speech information is contained within high gamma activity of the STN, with similar temporal but less specific topographical organization, compared to similar information encoded in the sensorimotor cortex.SIGNIFICANCE STATEMENTClinical and electrophysiological evidence suggests that the subthalamic nucleus is involved in speech, however, this important basal ganglia node is ignored in current models of speech production. We previously showed that subthalamic nucleus neurons differentially encode early and late aspects of speech production, but no previous studies have examined subthalamic functional organization for speech articulators. Using simultaneous local field potential recordings from the sensorimotor cortex and the subthalamic nucleus in patients with Parkinson’s disease undergoing deep brain stimulation surgery, we discovered that subthalamic nucleus high gamma activity tracks speech production at the level of vocal tract articulators, with high gamma power beginning to increase prior to the onset of vocalization, similar to cortical articulatory encoding.

2021 ◽  
Author(s):  
Alan Bush ◽  
Anna Chrabaszcz ◽  
Victoria Peterson ◽  
Varun Saravanan ◽  
Christina Dastolfo-Hromack ◽  
...  

AbstractThere is great interest in identifying the neurophysiological underpinnings of speech production. Deep brain stimulation (DBS) surgery is unique in that it allows intracranial recordings from both cortical and subcortical regions in patients who are awake and speaking. The quality of these recordings, however, may be affected to various degrees by mechanical forces resulting from speech itself. Here we describe the presence of speech-induced artifacts in local-field potential (LFP) recordings obtained from mapping electrodes, DBS leads, and cortical electrodes. In addition to expected physiological increases in high gamma (60-200 Hz) activity during speech production, time-frequency analysis in many channels revealed a narrowband gamma component that exhibited a pattern similar to that observed in the speech audio spectrogram. This component was present to different degrees in multiple types of neural recordings. We show that this component tracks the fundamental frequency of the participant’s voice, correlates with the power spectrum of speech and has coherence with the produced speech audio. A vibration sensor attached to the stereotactic frame recorded speech-induced vibrations with the same pattern observed in the LFPs. No corresponding component was identified in any neural channel during the listening epoch of a syllable repetition task. These observations demonstrate how speech-induced vibrations can create artifacts in the primary frequency band of interest. Identifying and accounting for these artifacts is crucial for establishing the validity and reproducibility of speech-related data obtained from intracranial recordings during DBS surgery.


2017 ◽  
Vol 117 (6) ◽  
pp. 2140-2151 ◽  
Author(s):  
Odeya Marmor ◽  
Dan Valsky ◽  
Mati Joshua ◽  
Atira S Bick ◽  
David Arkadir ◽  
...  

Subthalamic nucleus field potentials have attracted growing research and clinical interest over the last few decades. However, it is unclear whether subthalamic field potentials represent locally generated neuronal subthreshold activity or volume conductance of the organized neuronal activity generated in the cortex. This study aimed at understanding of the physiological origin of subthalamic field potentials and determining the most accurate method for recording them. We compared different methods of recordings in the human subthalamic nucleus: spikes (300–9,000 Hz) and field potentials (3–100 Hz) recorded by monopolar micro- and macroelectrodes, as well as by differential-bipolar macroelectrodes. The recordings were done outside and inside the subthalamic nucleus during electrophysiological navigation for deep brain stimulation procedures (150 electrode trajectories) in 41 Parkinson’s disease patients. We modeled the signal and estimated the contribution of nearby/independent vs. remote/common activity in each recording configuration and area. Monopolar micro- and macroelectrode recordings detect field potentials that are considerably affected by common (probably cortical) activity. However, bipolar macroelectrode recordings inside the subthalamic nucleus can detect locally generated potentials. These results are confirmed by high correspondence between the model predictions and actual correlation of neuronal activity recorded by electrode pairs. Differential bipolar macroelectrode subthalamic field potentials can overcome volume conductance effects and reflect locally generated neuronal activity. Bipolar macroelectrode local field potential recordings might be used as a biological marker of normal and pathological brain functions for future electrophysiological studies and navigation systems as well as for closed-loop deep brain stimulation paradigms. NEW & NOTEWORTHY Our results integrate a new method for human subthalamic recordings with a development of an advanced mathematical model. We found that while monopolar microelectrode and macroelectrode recordings detect field potentials that are considerably affected by common (probably cortical) activity, bipolar macroelectrode recordings inside the subthalamic nucleus (STN) detect locally generated potentials that are significantly different than those recorded outside the STN. Differential bipolar subthalamic field potentials can be used in navigation and closed-loop deep brain stimulation paradigms.


2022 ◽  
Vol 7 (4) ◽  
pp. 281-286
Author(s):  
Venkateshwarla Rama Raju

Deep brain stimulation of the subthalamic nucleus (STN) is a highly effective treatment for motor symptoms of Parkinson’s disease. Sub thalamic nucleus deep brain stimulation (STN-DBS) is a therapeutic surgical procedure for reducing the symptoms Parkinson’s and restoring and increasing the motor functioning. However, precise intraoperative edge or perimeter detection of STN remains a procedural challenge. In this study, we present the micro electrode signals recordings (MER) of STNs and local field potentials (LFPs) were acquired from deep brain stimulation macro electrodes during trajectory towards STN, in Parkinson patients. The frequency versus intensity atlas of field potential activity was obtained and further than investigated in distinct sub band’s, to explore whether field potentials activity can be employed for STN edge detection. STN perimeter detections by means of L F Ps were evaluated to edge predictions by way of the functional stereotactic DBS neurosurgeon, based on micro electrode derived, single unit recordings (M E R – S N A of S T Ns). The findings show variation amongst M E R – S N A and macro electrode L F P-signals gathering through MER-system pertaining to the d o r s a l S T N b o r d e r of -1.00±0.85mm plus -0.42±1.08 mm in the and frequencies, correspondingly. For these sub band`s, root mean square of the voids was found to be 1.27milli meters and 1.07milli meters. The Assessment of other sub band`s didn`t set a limit for differentiating the posterior (c a u d a l) point of sub-thalamic nuclei. We may infer that In conclusion, macro electrode signal acquisitions of STNs derived L F P gatherings might offer an unconventional methodology in the direction of m e r – s n a, for detecting the aimed target subthalamic nucleus borders during DBS-surgery.


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