Objective: To identify the effects of amygdala neuromodulation on disruptive behavior and quality of life changes in patients and its relationship with epilepsy.
Methods: The MEDLINE, OVID, WoS, Central Cochrane, and Scopus databases were systematically searched up to March 2023 for studies with at least six months of follow-up on extremely aggressive patients who underwent ablative surgeries or deep brain stimulation of the amygdala as the unique therapeutic target.
Results: The search yielded 1,352 studies after excluding duplicates. However, only 11 case series and three case reports met the inclusion criteria. The studies were published between 1963 and 2023 and included 1,033 patients, mostly male, aged between 5 and 61 years. All of the studies performed amygdalotomy except one, which performed deep brain stimulation. Behavior improved in > 70% of the patients, and seizures occurred in approximately 30%, of whom 40% presented improvement. Two studies reported worsening behavior.
Conclusions: Although we found that amygdalotomy has a positive effect on patient behavior and seizure control, new studies with greater power are needed. Future studies should investigate deep brain stimulation and the role of connectomics regarding this brain structure.
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http://dx.doi.org/10.47626/1516-4446-2024-3582 | DOI Listing |
Neurosurg Rev
January 2025
Department of Neurosurgery, King's College Hospital Foundation Trust, London, UK.
Minimally invasive parafascicular surgery (MIPS) with the use of tubular retractors achieve a safe resection in deep seated tumours. Diffusion changes noted on postoperative imaging; the significance and clinical correlation of this remains poorly understood. Single centre retrospective cohort study of neuro-oncology patients undergoing MIPS.
View Article and Find Full Text PDFBrain Struct Funct
January 2025
Department of Biomedical Engineering, College of Chemistry and Life Sciences, Beijing University of Technology, Beijing, 100124, China.
The brain undergoes atrophy and cognitive decline with advancing age. The utilization of brain age prediction represents a pioneering methodology in the examination of brain aging. This study aims to develop a deep learning model with high predictive accuracy and interpretability for brain age prediction tasks.
View Article and Find Full Text PDFNeuroradiology
January 2025
Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
Introduction: Bipolar disorder (BD) and major depressive disorder (MDD) have overlapping clinical presentations which may make it difficult for clinicians to distinguish them potentially resulting in misdiagnosis. This study combined structural MRI and machine learning techniques to determine whether regional morphological differences could distinguish patients with BD and MDD.
Methods: A total of 123 participants, including BD (n = 31), MDD (n = 48), and healthy controls (HC, n = 44), underwent high-resolution 3D T1-weighted imaging.
Microsc Res Tech
January 2025
AIDA Lab. College of Computer and Information Sciences (CCIS), Prince Sultan University, Riyadh, Saudi Arabia.
The development of deep learning algorithms has transformed medical image analysis, especially in brain tumor recognition. This research introduces a robust automatic microbrain tumor identification method utilizing the VGG16 deep learning model. Microscopy magnetic resonance imaging (MMRI) scans extract detailed features, providing multi-modal insights.
View Article and Find Full Text PDFBMC Neurol
January 2025
Department of Neurology, University Hospital Bern, Inselspital, University of Bern, Bern, Switzerland.
Background: Effects of subthalamic nucleus deep brain stimulation (STN-DBS) on neuropsychiatric symptoms of Parkinson's disease (PD) remain debated. Sensor technology might help to objectively assess behavioural changes after STN-DBS.
Case Presentation: 5 PD patients were assessed 1 before and 5 months after STN-DBS with the Movement Disorders Society Unified Parkinson's Disease Rating Scale part III in the medication ON (plus postoperatively stimulation ON) condition, the Montreal Cognitive Assessment, the Questionnaire for Impulsive-Compulsive Behaviors in Parkinson's Disease Rating Scale present version, the Hospital Anxiety and Depression Scale and the Starkstein Apathy Scale.
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