Loading
Neurological Disorders and Treatments · Journal article
Brain · July 23, 2026
Encouraging direction, but not yet definitive.
This observational study identified frequency-specific and spatially segregated neural correlates of depression, apathy, and impulsivity within the subthalamic nucleus in 55 PD patients undergoing DBS, using resting LFPs and structural connectomics. The findings are mechanistically informative and hypothesis-generating but remain unvalidated in independent cohorts and do not establish causality or clinical utility for diagnosis or treatment selection.
Cross-sectional observational study with post-hoc structural connectomics validation. 55 patients with Parkinson's disease undergoing deep brain stimulation with subthalamic nucleus electrode implantation.. Intervention: Resting-state subthalamic nucleus local field potential and frontal EEG recording; spectral analysis and machine learning mapping to psychiatric symptoms; UK Biobank structural connectomics. n = 55. Not stated in source text..
Depression associated with increased alpha power, primarily detected by anatomical STN mapping Apathy associated with increased high beta power, detected by both anatomical and electrophysiological STN mapping Trait impulsivity associated with reduced low gamma power, detected by both anatomical and electrophysiological STN mapping
Safety was not reported in the material analysed. Check the source before drawing any conclusion about harm.
These findings identify potential neurophysiological biomarkers for specific psychiatric symptoms in PD that may inform targeted neuromodulation; however, the results are observational and require validation before clinical implementation or use in patient stratification.
A single-centre observational study using invasive neurophysiology and structural connectomics to map psychiatric symptoms in PD; hypothesis-generating with mechanistic insight but requiring validation in independent cohorts and clinical outcome trials.
As stated by the source record.
Quoted from the source exactly as published.
These findings identify potential neurophysiological biomarkers for specific psychiatric symptoms in PD that may inform targeted neuromodulation; however, the results are observational and require validation before clinical implementation or use in patient stratification.
Graded across the dimensions that decide whether you should act, each from what the source actually supports. There is no single score, and where a dimension was not assessed it says so.
Psychiatric symptoms in Parkinson's disease (PD) are highly prevalent and challenging to treat. This study maps oscillatory neural activity to diverse psychiatric symptoms in PD, using resting-state subthalamic nucleus (STN) local field potentials (LFPs) and frontal EEG in 55 PD patients undergoing deep brain stimulation (DBS). We tested whether 1) distinct psychiatric symptoms are associated with frequency-specific neural signatures using power spectral analyses and machine learning, across both eyes-open and eyes-closed sensory-attentional states. 2) symptom encoding is spatially segregated within the STN, with electrophysiological (defined by peak spectral power) and anatomical (defined by STN boundaries) mappings providing complementary information. 3) these regions exhibit distinct structural connectivity profiles, assessed using STN-seeded tractography from the UK Biobank normative connectome. Our analysis revealed spectral, spatial, and connectivity segregation. Depression was associated with increased alpha power, primarily detected by anatomical mapping, whereas apathy (increased high beta) and trait impulsivity (reduced low gamma) were detected with both anatomical and electrophysiological STN mapping. UK Biobank analyses further showed that STN-based alpha clusters (depression-related) preferentially connected with prefrontal, orbitofrontal, and cingulate cortices, while peak low-beta clusters (motor-related) connected with SMA and premotor areas. High-beta and low-gamma bands showed convergent connectivity across peak and STN-based clusters despite ventral-dorsal differences. These findings disentangle neurophysiological substrates of PD psychiatry, identifying symptom-specific biomarkers and informing targeted neuromodulation strategies.
Taken from the source record, never inferred. Follow any of these and new work involving them reaches your briefing.