Scott J Burwell

Scott J Burwell
  • Doctor of Philosophy
  • CEO at Neurotype Inc.

Founder & CEO, looking for collaborations in digital health, IoT / mobile sensing, addiction & behavioral health care.

About

26
Publications
1,591
Reads
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306
Citations
Current institution
Neurotype Inc.
Current position
  • CEO

Publications

Publications (26)
Article
Full-text available
Background and purpose The ENIGMA‐EEG working group was established to enable large‐scale international collaborations among cohorts that investigate the genetics of brain function measured with electroencephalography (EEG). In this perspective, we will discuss why analyzing the genetics of functional brain activity may be crucial for understanding...
Article
To establish a trait-dispositional variable as an indicator of liability for the development of substance use disorders (SUDs), the trait must share heritable variance with SUDs and its association should not be primarily attributable to a direct impact of SUDs on characteristics that define the trait. The current work applied a co-twin control (CT...
Article
To establish a trait-dispositional variable as an indicator of liability for the development of substance use disorders (SUDs), the trait must share heritable variance with SUDs and its association should not be primarily attributable to a direct impact of SUDs on characteristics that define the trait. The current work applied a co-twin control (CT...
Article
Full-text available
Brain mechanisms linked to incorrect response selections made under time pressure during cognitive task performance are poorly understood, particularly in adolescents with attention‐deficit hyperactivity disorder (ADHD). Using subject‐specific multimodal imaging (electroencephalogram, magnetic resonance imaging, behavior) during flanker task perfor...
Article
Full-text available
Background Anxiety and depression disorders (internalizing psychopathology) occur in approximately 50% of patients with alcohol use disorder (AUD) and mark a 2‐fold increase in the rate of relapse in the months following treatment. In a previous study using network modeling, we found that perceived stress and drinking to cope (DTC) with negative af...
Preprint
Full-text available
Brain mechanisms responsible for errors during cognitive tasks are poorly understood, particularly in adolescents with attention-deficit hyperactivity disorder (ADHD). Using subject-specific multimodal imaging (EEG, MRI, behavior) during flanker task performance by a sample of 94 human adolescents (mean age = 15.5 years, 50% female) with varying de...
Article
Full-text available
Oscillatory activity is crucial for information processing in the brain, and has a long history as a biomarker for psychopathology. Variation in oscillatory activity is highly heritable, but current understanding of specific genetic influences remains limited. We performed the largest genome‐wide association study to date of oscillatory power durin...
Preprint
Oscillatory activity is crucial for information processing in the brain, and has a long history as a biomarker for psychopathology. Variation in oscillatory activity is highly heritable, but the involvement of specific genetic variants, genes, and brain expression pathways remains elusive. Here, we present a genome-wide association study (GWAS) for...
Article
Full-text available
ERP measures may index genetic risk for psychopathology before disorder onset in adolescence, but little is known about their developmental rank-order stability during this period of significant brain maturation. We studied ERP stability in 48 pairs of identical twins (age 14-16 years) tested 1 year apart. Trial-averaged voltage waveforms were extr...
Article
Several EEG parameters are potential endophenotypes for different psychiatric disorders. The present study consists of a comprehensive behavioral- and molecular-genetic analysis of such parameters in a large community sample (N = 4,026) of adolescent twins and their parents, genotyped for 527,829 single nucleotide polymorphisms (SNPs). Biometric he...
Article
Amplitude deficits of the P3 event-related potential (ERP) are associated with externalizing psychopathology but little is known about the nature of underlying brain electrical activity that accounts for this amplitude reduction. We sought to understand if group differences in task-induced phase-locking in electroencephalographic (EEG) delta and th...
Article
Prior work suggests that major depression is associated with abnormal startle blink responses; however, only chronic or recurrent depression appears to be associated with this effect. The current study tested this hypothesis directly by examining whether recurrent major depression accounted for the anomalous startle seen in major depression using a...
Article
Full-text available
This study determined whether time-domain P3 amplitude and time-frequency principal component (TF-PC) reductions are present in adulthood (age 29) when participants have largely passed through the age of heaviest substance misuse. Participants were assessed from age 17 through 29 for lifetime externalizing (EXT) disorders. EEG comparisons from thre...

Questions

Questions (2)
Question
My team is currently developing a neurotechnology-based assessment tool that uses EEG to quantify cue-induced craving responses in individuals with opioid use disorder. We are investigating its translational potential for use in outpatient addiction treatment, with a long-term goal of integrating it into closed-loop neurofeedback protocols.
To ensure relevance and utility in real-world settings, we are conducting a brief survey to gather feedback from:
  • Addiction psychiatrists
  • Clinical psychologists
  • Neurofeedback and EEG researchers
  • Behavioral health clinicians
  • Others with lived experience
🧠 The survey takes 5-10 minutes and identifying information is optional. Participants may optionally enter a drawing to receive a thank-you gift or have a donation made on their behalf.
If you work in substance use treatment, behavioral neuroscience, or EEG-based interventions, we would greatly value your input.
Please feel free to share with colleagues or networks. Thank you for supporting translational science! 🧪🚀
Question
There are a growing number of options for wireless consumer-grade EEG headsets available, promising room for expansion of mHealth and neurotechnology. However, while the EEG headsets circa ~2014 facilitated software development by having the raw EEG data somewhat easily accessible to developers (cf. early Muse and Emotiv headsets), in 2019 this does not seem to be the case. Now, subscriptions to proprietary data streaming software which may or may not reliably work on certain OSs ranges from $4 (e.g., Muse Direct) to $200 (e.g., Emotiv PRO).
As a person who is deciding between which EEG headsets to base the mobile software I am developing, I wonder which system(s) offer the most reliable and *cheaply* accessible data? OpenBCI seems to be a good option, but their primary headset is not very streamlined in its design, and the "comb" electrodes I have heard may be uncomfortable for some users.
There are papers outlining comparing specs of different systems (e.g., number of channels, wet/dry electrode comparisons), and some that compare data quality (e.g., SNR, reliability), but I am struggling to find a good resource that compares the ease-of-access to raw EEG signals.
Any insight would be of great help!

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