A systematic review of EEG source localization techniques and their applications on diagnosis of brain abnormalities
In recent years, multiple noninvasive imaging modalities have been used to develop a better
understanding of the human brain functionality, including positron emission tomography …
understanding of the human brain functionality, including positron emission tomography …
[HTML][HTML] Personalized machine learning of depressed mood using wearables
Depression is a multifaceted illness with large interindividual variability in clinical response
to treatment. In the era of digital medicine and precision therapeutics, new personalized …
to treatment. In the era of digital medicine and precision therapeutics, new personalized …
Cognitive and neural correlates of loneliness and wisdom during emotional bias
G Grennan, PP Balasubramani, F Alim… - Cerebral …, 2021 - academic.oup.com
Loneliness and wisdom have opposing impacts on health and well-being, yet their neuro-
cognitive bases have never been simultaneously investigated. In this study of 147 healthy …
cognitive bases have never been simultaneously investigated. In this study of 147 healthy …
Differences in interference processing and frontal brain function with climate trauma from California's deadliest wildfire
As climate change accelerates extreme weather disasters, the mental health of the impacted
communities is a rising concern. In a recent study of 725 Californians we showed that …
communities is a rising concern. In a recent study of 725 Californians we showed that …
Distinct neural activations correlate with maximization of reward magnitude versus frequency
PP Balasubramani, J Diaz-Delgado, G Grennan… - Cerebral …, 2023 - academic.oup.com
Choice selection strategies and decision-making are typically investigated using multiple-
choice gambling paradigms that require participants to maximize expected value of rewards …
choice gambling paradigms that require participants to maximize expected value of rewards …
Sparse signal representation, sampling, and recovery in compressive sensing frameworks
Compressive sensing allows the reconstruction of original signals from a much smaller
number of samples as compared to the Nyquist sampling rate. The effectiveness of …
number of samples as compared to the Nyquist sampling rate. The effectiveness of …
[HTML][HTML] Design and Implementation of a Brief Digital Mindfulness and Compassion Training App for Health Care Professionals: Cluster Randomized Controlled Trial
Background Several studies show that intense work schedules make health care
professionals particularly vulnerable to emotional exhaustion and burnout. Objective In this …
professionals particularly vulnerable to emotional exhaustion and burnout. Objective In this …
Dissociable neural mechanisms of cognition and well-being in youth versus healthy aging.
Mental health, cognition, and their underlying neural processes in healthy aging are rarely
studied simultaneously. Here, in a sample of healthy younger (n= 62) and older (n= 54) …
studied simultaneously. Here, in a sample of healthy younger (n= 62) and older (n= 54) …
[HTML][HTML] Mapping cognitive brain functions at scale
A fundamental set of cognitive abilities enable humans to efficiently process goal-relevant
information, suppress irrelevant distractions, maintain information in working memory, and …
information, suppress irrelevant distractions, maintain information in working memory, and …
Distance-based weighted sparse representation to classify motor imagery EEG signals for BCI applications
Motor imagery (MI) based brain-computer interface systems (BCIs) are highly in need for a
large number of real-time applications such as hands and touch-free text entry system …
large number of real-time applications such as hands and touch-free text entry system …