4.7 Article

Deep Brain Stimulation for Depression Informed by Intracranial Recordings

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Review Neurosciences

Four Deep Brain Stimulation Targets for Obsessive-Compulsive Disorder: Are They Different?

Suzanne N. Haber et al.

Summary: This study examined the similarities and differences across four deep brain stimulation targets, finding that these targets generally involve similar connections but also have some unique connections. Delineating the similarities and differences across targets is critical for evaluating and comparing their effectiveness and how circuits contribute to therapeutic outcomes.

BIOLOGICAL PSYCHIATRY (2021)

Review Clinical Neurology

Deep Brain Electrode Externalization and Risk of Infection: A Systematic Review and Meta-Analysis

Alon Kashanian et al.

Summary: The study aimed to determine the association between lead externalization and risk of infection in deep brain stimulation. The pooled proportion of infection in patients with lead externalization was found to be comparable to that of patients without externalization. Additional studies are needed to verify these findings before implementing in clinical practice.

OPERATIVE NEUROSURGERY (2021)

Article Biochemistry & Molecular Biology

State-dependent responses to intracranial brain stimulation in a patient with depression

Katherine W. Scangos et al.

Summary: Deep brain stimulation shows promise in treating severe depression, but questions about anatomical targeting remain. A study implanting intracranial electrodes in a depressed patient found rapid, reproducible emotional responses that were context and state dependent, providing proof of concept for personalized, circuit-specific medicine in psychiatry.

NATURE MEDICINE (2021)

Article Engineering, Biomedical

Modelling and prediction of the dynamic responses of large-scale brain networks during direct electrical stimulation

Yuxiao Yang et al.

Summary: Dynamic input-output models have been developed to predict the multiregional dynamics of brain networks in response to varying patterns of microstimulation. The activities of brain networks can be modulated by changes in stimulation amplitude and frequency, with variations in prediction accuracy and estimated response strength across brain regions. This research may enable precise neuromodulation for disease treatment and help investigate the functional organization of large-scale brain networks.

NATURE BIOMEDICAL ENGINEERING (2021)

Article Clinical Neurology

A Novel Framework for Network-Targeted Neuropsychiatric Deep Brain Stimulation

Anusha Allawala et al.

Summary: Deep brain stimulation (DBS) has shown inconsistent results in prior clinical trials for neuropsychiatric illnesses. An individualized intracranial investigation approach, combining behavioral assessments, is proposed to inform ideal DBS parameters for better treatment outcomes.

NEUROSURGERY (2021)

Article Neurosciences

Modeling behaviorally relevant neural dynamics enabled by preferential subspace identification

Omid G. Sani et al.

Summary: The PSID algorithm is developed to model neural activity while dissociating and prioritizing its behaviorally relevant dynamics. Through simulation, it was found that behaviorally relevant dynamics are lower-dimensional than previously expected, and can be more accurately learned using PSID.

NATURE NEUROSCIENCE (2021)

Letter Neurosciences

Rapid Antidepressant Effects of Deep Brain Stimulation and Their Relation to Surgical Protocol

Patricio Riva-Posse et al.

BIOLOGICAL PSYCHIATRY (2020)

Article Clinical Neurology

Intracranial EEG in the 21st Century

Barbara C. Jobst et al.

EPILEPSY CURRENTS (2020)

Article Clinical Neurology

Deep Brain Stimulation for Depression An Emerging Indication

Megan M. Filkowski et al.

NEUROSURGERY CLINICS OF NORTH AMERICA (2019)

Article Biotechnology & Applied Microbiology

Mood variations decoded from multi-site intracranial human brain activity

Omid G. Sani et al.

NATURE BIOTECHNOLOGY (2018)

Article Biochemistry & Molecular Biology

Resting-state connectivity biomarkers define neurophysiological subtypes of depression

Andrew T. Drysdale et al.

NATURE MEDICINE (2017)

Article Clinical Neurology

Technique, Results, and Complications Related to Robot-Assisted Stereoelectroencephalography

Jorge Gonzalez-Martinez et al.

NEUROSURGERY (2016)

Review Psychiatry

Precision psychiatry: a neural circuit taxonomy for depression and anxiety

Leanne M. Williams

LANCET PSYCHIATRY (2016)