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Aperiodic Subthalamic Dynamics Distinguish Rest from Affective Processing: Implications for Adaptive DBS

Published online by Cambridge University Press:  31 July 2026

S. Karim*
Affiliation:
Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom
V. Voon
Affiliation:
Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom
S. Sonkusare
Affiliation:
Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom
*
*Corresponding author.

Abstract

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Introduction

The subthalamic nucleus (STN) is central to basal ganglia circuits, integrating motor, cognitive, and limbic functions. Its aberrant activity underlies core motor symptoms of Parkinson’s disease (PD). While its motor role is well established, evidence implicates the STN in affective processing. Deep brain stimulation (DBS) alleviates PD motor symptoms and, perioperatively, allows intracranial recordings from implanted electrodes. These recordings provide a unique opportunity to study STN dynamics across brain states. Neural signals contain oscillatory components and a non-oscillatory aperiodic component in the background. This aperiodic component follows a 1/f distribution, with two features: the exponent, the slope reflecting the level of local excitation–inhibition balance, and the offset, the overall broadband power (see Img. 1). Despite detailed STN oscillation studies, the aperiodic component remains under-investigated during emotion processing.

Objectives

We aimed to characterise STN aperiodic features—the exponent and offset—during rest and emotional stimulus engagement, and assess their potential as markers of state-dependent excitation–inhibition balance.

Methods

We analysed bilateral STN recordings from 19 PD patients (6 female; mean ± SD age = 59.7 ± 11.8 years) undergoing DBS. Recordings were obtained during rest and presentation of emotionally salient images from the International Affective Picture System (IAPS). Data were visually inspected and cleaned, then processed using the FOOOF algorithm to isolate the aperiodic exponent and offset. This yielded 114 electrode-level recordings across patients, which were analysed at the group level using paired t-tests (α = 0.05) between resting and task conditions.

Results

The aperiodic exponent was lower during emotional processing (1.44 ± 0.04) than at rest (1.49 ± 0.04; t(113) = 1.68, p = 0.03). The offset was also lower during the task (0.159 ± 0.059) than at rest (0.211 ± 0.053), but this was not significant (t(113) = 2.18, p = 0.09).Image 1:Line graph of log Power versus Frequency. A green aperiodic component shows a smooth exponential decay from an aperiodic offset. A blue periodic component follows the same decay but includes two distinct peaks at mid-range frequencies.

Conclusions

We provide novel evidence that STN aperiodic dynamics are state-dependent and sensitive to emotional engagement. The decrease in the aperiodic exponent, corresponding to a reduced 1/f slope, reflects increased excitatory activity relative to inhibition, likely driven via hyperdirect cortical or indirect striatal projections. Further studies should examine differences between positive and negative emotional valence and associations with mood symptoms in PD. Though preliminary, these findings suggest the aperiodic exponent could serve as a biomarker of STN excitation–inhibition balance for adaptive DBS and a quantifiable metric to track disease progression and treatment response.

Disclosure of Interest

None Declared

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Abstract
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© The Author(s), 2026. Published by Cambridge University Press on behalf of European Psychiatric Association
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