Cingulate dynamics track depression recovery with deep brain stimulation

Nature, Год журнала: 2023, Номер 622(7981), С. 130 - 138

Опубликована: Сен. 20, 2023

Abstract Deep brain stimulation (DBS) of the subcallosal cingulate (SCC) can provide long-term symptom relief for treatment-resistant depression (TRD) 1 . However, achieving stable recovery is unpredictable 2 , typically requiring trial-and-error adjustments due to individual trajectories and subjective reporting 3 We currently lack objective brain-based biomarkers guide clinical decisions by distinguishing natural transient mood fluctuations from situations intervention. To address this gap, we used a new device enabling electrophysiology recording deliver SCC DBS ten TRD participants (ClinicalTrials.gov identifier NCT01984710). At study endpoint 24 weeks, 90% demonstrated robust response, 70% achieved remission. Using local field potentials available six participants, deployed an explainable artificial intelligence approach identify potential changes indicating patient’s current state. This biomarker distinct effects, sensitive therapeutic accurate at capturing states. Variable are predicted degree preoperative damage structural integrity functional connectivity within targeted white matter treatment network, matched facial expression detected using data-driven video analysis. Our results demonstrate utility in management personalized insight into relationship between multifaceted (functional, anatomical behavioural) features pathology, motivating further research causes variability treatment.

Язык: Английский

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Deep Brain Stimulation for Obsessive-Compulsive Disorder and Depression

Annual Review of Neuroscience, Год журнала: 2023, Номер 46(1), С. 341 - 358

Опубликована: Апрель 5, 2023

The field of stereotactic neurosurgery developed more than 70 years ago to address a therapy gap for patients with severe psychiatric disorders. In the decades since, it has matured tremendously, benefiting from advances in clinical and basic sciences. Deep brain stimulation (DBS) severe, treatment-resistant disorders is currently poised transition stage empiricism one increasingly rooted scientific discovery. Current drivers this are neuroimaging, but rapidly emerging ones neurophysiological—as we understand about neural basis these disorders, will successfully be able use interventions such as invasive restore dysfunctional circuits health. Paralleling steady increase consistency quality outcome data. Here, focus on obsessive-compulsive disorder depression, two topics that have received most attention terms trial volume effort.

Язык: Английский

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Proceedings of the 11th Annual Deep Brain Stimulation Think Tank: pushing the forefront of neuromodulation with functional network mapping, biomarkers for adaptive DBS, bioethical dilemmas, AI-guided neuromodulation, and translational advancements

Frontiers in Human Neuroscience, Год журнала: 2024, Номер 18

Опубликована: Фев. 21, 2024

The Deep Brain Stimulation (DBS) Think Tank XI was held on August 9–11, 2023 in Gainesville, Florida with the theme of “Pushing Forefront Neuromodulation”. keynote speaker Dr. Nico Dosenbach from Washington University St. Louis, Missouri. He presented his research recently published Nature inn a collaboration Evan Gordon to identify and characterize somato-cognitive action network (SCAN), which has redefined motor homunculus led new hypotheses about integrative networks underpinning therapeutic DBS. DBS founded 2012 provides an open platform where clinicians, engineers, researchers (from industry academia) can freely discuss current emerging technologies, as well logistical ethical issues facing field. group estimated that globally more than 263,000 devices have been implanted for neurological neuropsychiatric disorders. This year's meeting focused advances following areas: cutting-edge translational neuromodulation, physiology, neuromodulation Europe Asia, neuroethical dilemmas, artificial intelligence computational modeling, time scales mood disorders, future devices.

Язык: Английский

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Predictive neuromodulation of cingulo-frontal neural dynamics in major depressive disorder using a brain-computer interface system: A simulation study

Frontiers in Computational Neuroscience, Год журнала: 2023, Номер 17

Опубликована: Март 6, 2023

Deep brain stimulation (DBS) is a promising therapy for treatment-resistant major depressive disorder (MDD). MDD involves the dysfunction of network that can exhibit complex nonlinear neural dynamics in multiple frequency bands. However, current open-loop and responsive DBS methods cannot track multiband MDD, leading to imprecise regulation symptoms, variable treatment effects among patients, high battery power consumption.Here, we develop closed-loop brain-computer interface (BCI) system predictive neuromodulation treating MDD. We first use biophysically plausible ventral anterior cingulate cortex (vACC)-dorsolateral prefrontal (dlPFC) mass model simulate response DBS. then offline identification build dynamic predicts effect on activity. next identified design an online BCI neuromodulation. The consists state estimator controller. estimates from history activity previously delivered patterns. controller takes estimated as feedback signal optimally adjusts regulate therapeutic targets. vACC-dlPFC simulation testbed test compare it with state-of-the-art treatments MDD.We demonstrate our accurately Consequently, regulates resulting significantly smaller control errors lower consumption than DBS.Our results have implications developing future precisely-tailored clinical

Язык: Английский

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Brain–computer interfaces for neuropsychiatric disorders

Nature Reviews Bioengineering, Год журнала: 2024, Номер 2(8), С. 653 - 670

Опубликована: Июнь 3, 2024

Язык: Английский

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Invasive neurophysiology and whole brain connectomics for neural decoding in patients with brain implants

Research Square (Research Square), Год журнала: 2023, Номер unknown

Опубликована: Сен. 20, 2023

Abstract Brain computer interfaces (BCI) provide unprecedented spatiotemporal precision that will enable significant expansion in how numerous brain disorders are treated. Decoding dynamic patient states from signals with machine learning is required to leverage this precision, but a standardized framework for identifying and advancing novel clinical BCI approaches does not exist. Here, we developed platform integrates signal decoding connectomics demonstrate its utility across 123 hours of invasively recorded data 73 neurosurgical patients treated movement disorders, depression epilepsy. First, introduce connectomics-informed decoders generalize cohorts Parkinson’s disease epilepsy the US, Europe China. Next, reveal network targets emotion left prefrontal cingulate circuits DBS major depression. Finally, showcase opportunities improve seizure detection responsive neurostimulation Our provides rapid, high-accuracy medicine can dynamically adapt neuromodulation therapies response individual needs patients.

Язык: Английский

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Establishing connectivity through microdissections of midbrain stimulation-related neural circuits

Brain, Год журнала: 2024, Номер 147(9), С. 3083 - 3098

Опубликована: Май 29, 2024

Abstract Comprehensive understanding of the neural circuits involving ventral tegmental area is essential for elucidating anatomofunctional mechanisms governing human behaviour, in addition to therapeutic and adverse effects deep brain stimulation neuropsychiatric diseases. Although has been targeted successfully with different diseases, axonal connectivity region not fully understood. Here, using fibre microdissections cadaveric hemispheres, population-based high-definition tractography previously reported hotspots, we find that participates an intricate network serotonergic pontine nuclei, basal ganglia, limbic system, forebrain prefrontal cortex, which implicated treatment obsessive–compulsive disorder, major depressive Alzheimer’s disease, cluster headaches aggressive behaviours.

Язык: Английский

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Functional near-infrared spectroscopy-based diagnosis support system for distinguishing between mild and severe depression using machine learning approaches

Neurophotonics, Год журнала: 2024, Номер 11(02)

Опубликована: Апрель 24, 2024

Early diagnosis of depression is crucial for effective treatment. Our study utilizes functional near-infrared spectroscopy (fNIRS) and machine learning to accurately classify mild severe depression, providing an objective auxiliary diagnostic tool mental health workers.

Язык: Английский

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Beta activity in human anterior cingulate cortex mediates reward biases

Nature Communications, Год журнала: 2024, Номер 15(1)

Опубликована: Июль 15, 2024

Abstract The rewards that we get from our choices and actions can have a major influence on future behavior. Understanding how reward biasing of behavior is implemented in the brain important for many reasons, including fact diminution hallmark clinical depression. We hypothesized mediated by anterior cingulate cortex (ACC), cortical hub region associated with integration executive control etiology To test this hypothesis, recorded neural activity during biased judgment task patients undergoing intracranial monitoring either epilepsy or depressive disorder. found beta (12–30 Hz) oscillations ACC predicted both size choice bias, also tracked receipt, thereby predicting bias trials. reduced magnitude depressed patients, whom beta-specific effects were correspondingly reduced. Our findings suggest may orchestrate learning information to guide adaptive choice, and, more broadly, potential biomarker anhedonia point development interventions enhance impact therapeutic benefit.

Язык: Английский

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Intracranial closed-loop neuromodulation as an intervention for neuropsychiatric disorders: an overview

Frontiers in Psychiatry, Год журнала: 2025, Номер 16

Опубликована: Янв. 30, 2025

Recent technological advances in intracranial brain stimulation have enhanced the potential of neuromodulation for addressing neuropsychiatric disorders. We present a review methodology and preliminary outcomes pioneering studies exploring biomarker detection closed-loop to modulate high-symptom severity states searched PubMed, Scopus, Web Science, Embase, PsycINFO/PsycNet, followed by reference citation lists retrieved articles. This search strategy yielded total 583 articles, which 5 articles met inclusion criteria, focusing on depression, obsessive-compulsive disorder, post-traumatic stress binge eating disorder. discuss identification, biomarkers identified, treatment neuromodulation. Successful identification hinges investigating across various setting. Targeted neuromodulation, either directed at or within its associated neural network, offers promising approach. Future research should seek understand mechanisms underlying effects as well long-term viability these different conditions.

Язык: Английский

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