A5068672154- EEG and Brain-Computer Interfaces
- Functional Brain Connectivity Studies
- Neural dynamics and brain function
- Neurological disorders and treatments
- Neuroscience and Neural Engineering
- Neuroscience and Neuropharmacology Research
- CRISPR and Genetic Engineering
- Memory and Neural Mechanisms
- Mental Health Research Topics
- DNA Repair Mechanisms
- Transcranial Magnetic Stimulation Studies
- Genetics, Bioinformatics, and Biomedical Research
- Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Genetics, Aging, and Longevity in Model Organisms
- Science, Research, and Medicine
- Nutrition, Genetics, and Disease
- Emotion and Mood Recognition
- Health, Environment, Cognitive Aging
- Zoonotic diseases and public health
- Cerebral Palsy and Movement Disorders
- Pain Management and Treatment
- Neural and Behavioral Psychology Studies
- Yersinia bacterium, plague, ectoparasites research
- Vagus Nerve Stimulation Research
- RNA and protein synthesis mechanisms
Neurological Surgery
2018-2024
University of California, San Francisco
2017-2024
Oxford Brookes University
2024
Neurosciences Institute
2020
University of California, Berkeley
1999-2019
Defense Advanced Research Projects Agency
2019
Howard Hughes Medical Institute
1999-2002
State University of New York
1995
The ability to decode mood state over time from neural activity could enable closed-loop systems treat neuropsychiatric disorders. However, this decoding has not been demonstrated, partly owing the difficulty of modeling distributed mood-relevant dynamics while dealing with sparsity measurements. Here we develop a framework variations multi-site intracranial recordings in seven human subjects epilepsy who self-reported their intermittently multiple days. We built dynamic encoding models and...
Mood disorders are dynamic characterized by multimodal symptoms. Clinical assessment of symptoms is currently limited to relatively sparse, routine clinic visits, requiring retrospective recollection present in the weeks preceding visit. Novel advances mobile tools now support ecological momentary mood, conducted frequently using devices, outside clinical setting. Such mood may help circumvent problems associated with infrequent reporting and better characterize presentation symptoms,...
Emotional responses arise from limbic circuits including the hippocampus and amygdala. In human brain, beta-frequency communication between these structures correlates with self-reported mood anxiety. However, both mechanism significance of this biomarker as a readout vs. driver emotional state remain unknown. Here, we show that ventral basolateral amygdala also predicts anxiety-related behavior in mice, on long timescales (∼30 min) immediately preceding behavioral choices. Genetically...
Pain is a subjective experience that alerts an individual to actual or potential tissue damage. Through mechanisms are still unclear, normal physiological pain can lose its adaptive value and evolve into pathological chronic neuropathic pain. Chronic multifaceted be understood in terms of somatosensory, affective, cognitive dimensions, each with associated symptoms neural signals. While there have been many attempts treat pain, this article we will argue closed-loop deep brain stimulation...
Gene-specific and chromosome-wide mechanisms of transcriptional regulation control development in multicellular organisms. SDC-2, the determinant hermaphrodite fate Caenorhabditis elegans, is a paradigm for both modes regulation. SDC-2 represses transcription X chromosomes to achieve dosage compensation, it also male sex-determination gene her-1 elicit differentiation. We show here that recruits entire compensation complex her-1, directing this X-chromosome repression machinery silence an...
Abstract Invasive neural recording in humans shows promise for understanding the circuit basis of brain disorders. Most recordings have been done short durations from externalized leads hospital settings, or first-generation implantable sensing devices that offer only intermittent brief streaming time series data. Here we report first human use an interface wireless multichannel field potentials over long periods, with and without simultaneous therapeutic neurostimulation, untethered to...
Objective: Anxiety and depression are prominent non-motor symptoms of Parkinson's disease (PD), but their pathophysiology remains unclear. We sought to understand neurophysiological correlates from chronic invasive recordings the prefrontal cortex (PFC). Methods: studied four patients undergoing deep brain stimulation (DBS) for motor signs, who had comorbid mild moderate anxiety and/or depressive symptoms. In addition basal ganglia leads, we placed a permanent subdural 4-contact lead. These...
Major depressive disorder is a common and disabling with high rates of treatment resistance. Evidence suggests it characterized by distributed network dysfunction that may be variable across patients, challenging the identification quantitative biological substrates. We carried out this study to determine whether application novel computational approach large sample spatiotemporal resolution direct neural recordings in humans could unlock functional organization coordinated activity patterns...
Adult patients with epilepsy have an increased prevalence of major depressive disorder (MDD). Intracranial EEG (iEEG) captured during extended inpatient monitoring treatment-resistant offers a particularly promising method to study MDD networks in epilepsy.The authors used 24 hours resting-state iEEG examine the neural activity patterns within corticolimbic structures that reflected presence symptoms 13 adults medication-refractory epilepsy. Principal component analysis was performed on...
Anxiety is a common symptom across psychiatric disorders, but the neurophysiological underpinnings of these symptoms remain unclear. This knowledge gap has prevented development circuit-based treatments that can target neural substrates underlying anxiety. Here, we conducted an electrophysiological mapping study to identify activity associated with self-reported state anxiety in 17 subjects implanted intracranial electrodes for seizure localization. Participants had baseline traits ranging...
Objective.Intracranial neural recordings and electrical stimulation are tools used in an increasing range of applications, including intraoperative clinical mapping monitoring, therapeutic neuromodulation, brain computer interface control feedback. However, many these applications suffer from a lack spatial specificity localization, both terms sensed signal applied stimulation. This stems limited manufacturing processes commercial-off-the-shelf (COTS) arrays unable to accommodate increased...
Invasive and non-invasive electrical stimulation are increasingly being used for the diagnosis treatment of neurological disorders, characterizing neural circuits involved in a range behaviors. However, there substantial challenges understanding effects on brain activity due to contamination electrophysiological recordings by artifacts. Here, we compare performance several artifact removal methods electrocorticographic (ECoG) with simultaneous cortical or peripheral humans. We systematically...
Understanding the correlation between neural features and symptoms of mood disorders, such as depression, could provide objective measurements for diagnosis facilitate clinical treatments. In this paper, we study with positive naturalistic emotional displays, e.g., smiling, in human subjects a normal setup, without presenting any experimental stimuli to subjects. We employed data driven approach utilized Random Forest classifiers decode displays from brain activity. Our results on all our...