Search Results - "Berger, Sara E"

Corticolimbic anatomical characteristics predetermine risk for chronic pain by Vachon-Presseau, Etienne, Tétreault, Pascal, Petre, Bogdan, Huang, Lejian, Berger, Sara E, Torbey, Souraya, Baria, Alexis T, Mansour, Ali R, Hashmi, Javeria A, Griffith, James W, Comasco, Erika, Schnitzer, Thomas J, Baliki, Marwan N, Apkarian, A Vania

“…SEE TRACEY DOI101093/BRAIN/AWW147 FOR A SCIENTIFIC COMMENTARY ON THIS ARTICLE: Mechanisms of chronic pain remain poorly understood. We tracked brain properties…”
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Brain and psychological determinants of placebo pill response in chronic pain patients by Vachon-Presseau, Etienne, Berger, Sara E., Abdullah, Taha B., Huang, Lejian, Cecchi, Guillermo A., Griffith, James W., Schnitzer, Thomas J., Apkarian, A. Vania

“…The placebo response is universally observed in clinical trials of pain treatments, yet the individual characteristics rendering a patient a ‘placebo…”
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Assessing Pain Research: A Narrative Review of Emerging Pain Methods, Their Technosocial Implications, and Opportunities for Multidisciplinary Approaches by Berger, Sara E, Baria, Alexis T

“…Pain research traverses many disciplines and methodologies. Yet, despite our understanding and field-wide acceptance of the multifactorial essence of pain as a…”
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Identification of traits and functional connectivity-based neurotraits of chronic pain by Vachon-Presseau, Etienne, Berger, Sara E, Abdullah, Taha B, Griffith, James W, Schnitzer, Thomas J, Apkarian, A Vania

“…Psychological and personality factors, socioeconomic status, and brain properties all contribute to chronic pain but have essentially been studied…”
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Addressing neuroethics issues in practice: Lessons learnt by tech companies in AI ethics by Berger, Sara E, Rossi, Francesca

“…Neurotechnologies raise ethical concerns overlapping with those of other technologies, like artificial intelligence (AI). We discuss how to leverage the…”
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Hippocampal morphology mediates biased memories of chronic pain by Berger, Sara E., Vachon-Presseau, Étienne, Abdullah, Taha B., Baria, Alex T., Schnitzer, Thomas J., Apkarian, A. Vania

“…Experiences and memories are often mismatched. While multiple studies have investigated psychological underpinnings of recall error with respect to emotional…”
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Parceling human accumbens into putative core and shell dissociates encoding of values for reward and pain by Baliki, Marwan N, Mansour, Ali, Baria, Alex T, Huang, Lejian, Berger, Sara E, Fields, Howard L, Apkarian, A Vania

“…In addition to their well-established role in signaling rewarding outcomes and reward-predictive cues and in mediating positive reinforcement, there is growing…”
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Quantitative language features identify placebo responders in chronic back pain by Berger, Sara E., Branco, Paulo, Vachon-Presseau, Etienne, Abdullah, Taha B., Cecchi, Guillermo, Apkarian, A. Vania

“…Although placebo effect sizes in clinical trials of chronic pain treatments have been increasing, it remains unknown if characteristics of individuals'…”
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Validating a biosignature-predicting placebo pill response in chronic pain in the settings of a randomized controlled trial by Vachon-Presseau, Etienne, Abdullah, Taha B., Berger, Sara E., Huang, Lejian, Griffith, James W., Schnitzer, Thomas J., Apkarian, A. Vania

“…The objective of this study is to validate a placebo pill response predictive model-a biosignature-that classifies chronic pain patients into placebo…”
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Risky monetary behavior in chronic back pain is associated with altered modular connectivity of the nucleus accumbens by Berger, Sara E, Baria, Alexis T, Baliki, Marwan N, Mansour, Ali, Herrmann, Kristi M, Torbey, Souraya, Huang, Lejian, Parks, Elle L, Schnizter, Thomas J, Apkarian, A Vania

“…The nucleus accumbens (NAc) has a well established role in reward processing. Yet, there is growing evidence showing that NAc function, and its connections to…”
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The Impact of COVID-19 on Chronic Pain: Multidimensional Clustering Reveals Deep Insights into Spinal Cord Stimulation Patients by Berger, Sara E., Agurto, Carla, Cecchi, Guillermo A., Eyigoz, Elif, Hershey, Brad, Lechleiter, Kristen, Huynh, Dat, McDonald, Matt, Rogers, Jeffrey L.

“…The emergence of COVID-19 offered a unique opportunity to study chronic pain patients as they responded to sudden changes in social environments, increased…”
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Quantitative language features identify placebo responders in chronic back pain by Berger, Sara E., Branco, Paulo, Vachon-Presseau, Etienne, Abdullah, Taha B., Cecchi, Guillermo, Apkarian, A. Vania

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Validating a biosignature predicting placebo pill response in chronic pain in the settings of a randomized controlled trial by Vachon-Presseau, Etienne, Abdullah, Taha B., Berger, Sara E., Huang, Lejian, Griffith, James W., Schnitzer, Thomas J., Apkarian, A. Vania

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Interpretable Subgroup Discovery in Treatment Effect Estimation with Application to Opioid Prescribing Guidelines by Nagpal, Chirag, Wei, Dennis, Vinzamuri, Bhanukiran, Shekhar, Monica, Berger, Sara E, Das, Subhro, Varshney, Kush R

“…First ACM Conference on Health, Inference and Learning (CHIL) 2020 The dearth of prescribing guidelines for physicians is one key driver of the current opioid…”
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Detectors for Safe and Reliable LLMs: Implementations, Uses, and Limitations by Achintalwar, Swapnaja, Garcia, Adriana Alvarado, Anaby-Tavor, Ateret, Baldini, Ioana, Berger, Sara E, Bhattacharjee, Bishwaranjan, Bouneffouf, Djallel, Chaudhury, Subhajit, Chen, Pin-Yu, Chiazor, Lamogha, Daly, Elizabeth M, DB, Kirushikesh, de Paula, Rogério Abreu, Dognin, Pierre, Farchi, Eitan, Ghosh, Soumya, Hind, Michael, Horesh, Raya, Kour, George, Lee, Ja Young, Madaan, Nishtha, Mehta, Sameep, Miehling, Erik, Murugesan, Keerthiram, Nagireddy, Manish, Padhi, Inkit, Piorkowski, David, Rawat, Ambrish, Raz, Orna, Sattigeri, Prasanna, Strobelt, Hendrik, Swaminathan, Sarathkrishna, Tillmann, Christoph, Trivedi, Aashka, Varshney, Kush R, Wei, Dennis, Witherspooon, Shalisha, Zalmanovici, Marcel

“…Large language models (LLMs) are susceptible to a variety of risks, from non-faithful output to biased and toxic generations. Due to several limiting factors…”
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