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Susan Whitfield-Gabrieli

Center for Precision Psychiatry, Massachusetts General Hospital, Boston, MA, United States.

8 papers in the library · 393 citations · publishing 2013-2025

Papers

What about the “Self” is Processed in the Posterior Cingulate Cortex?

Frontiers in Human Neuroscience January 1, 2013 Judson A. Brewer, Kathleen A. Garrison, Susan Whitfield-Gabrieli 264 citations

The posterior cingulate cortex (PCC) is consistently activated during self-referential tasks like judging personality traits or mind-wandering, and deactivated during present-centered tasks such as working memory or meditation. Despite this pattern, the PCC's exact role in self-related processes remains unclear. Recent real-time fMRI neurofeedback studies suggest PCC activity may reflect a sub-component of self-reference: 'getting caught up in' one's experience, such as a craving or viewpoint. This review synthesizes converging evidence across cognitive neuroscience domains, including neurophenomenological studies, to support this interpretation.

Reducing default mode network connectivity with mindfulness-based fMRI neurofeedback: a pilot study among adolescents with affective disorder history.

Molecular psychiatry June 1, 2023 Jiahe Zhang, Jovicarole Raya, Francesca Morfini et al. 65 citations

Adolescents with a lifetime history of depression or anxiety (n = 9) participated in a proof-of-concept study using personalized mindfulness-based fMRI neurofeedback to reduce default mode network hyperconnectivity, a neural mechanism linked to depressive symptoms. After a resting state fMRI localizer to map each adolescent's default mode and central executive networks, a brief mindfulness training and neurofeedback session followed. The neurofeedback successfully engaged the target brain state, with participants spending more time with default mode network activation lower than central executive network activation. Within-default mode network connectivity decreased in all nine adolescents, correlating with increased state mindfulness after the session. Reduced within-default mode network connectivity mediated the link between better neurofeedback performance and increased state mindfulness, suggesting this non-invasive method can modulate networks involved in adolescent depression.

Default Mode Network Functional Connectivity As a Transdiagnostic Biomarker of Cognitive Function.

Biological psychiatry. Cognitive neuroscience and neuroimaging April 1, 2025 Vaibhav Tripathi, Ishaan Batta, Andre Zamani et al. 23 citations

The default mode network (DMN) is linked to self-referential thinking, memory, and goal-directed cognition. Its functional connectivity with frontoparietal networks involved in attention and executive control may indicate cognitive health. This review examines DMN connectivity metrics as potential biomarkers across states like attention, mind wandering, and meditation, and in conditions such as Alzheimer's disease, Parkinson's disease, depression, and ADHD. It also addresses the reliability of network estimation and offers recommendations for using functional connectivity measures as biomarkers of cognitive health.

Mindfulness-based real-time fMRI neurofeedback: a randomized controlled trial to optimize dosing for depressed adolescents.

BMC psychiatry October 17, 2023 Paul A Bloom, David Pagliaccio, Jiahe Zhang et al. 17 citations

Adolescents with major depressive disorder (MDD) may benefit from a non-invasive technique that combines mindfulness with real-time fMRI neurofeedback (mbNF) to reduce activity in the default mode network (DMN), a brain network linked to rumination. In a planned trial, 90 adolescents aged 13–18 with MDD will be randomly assigned to receive either 15 or 30 minutes of mbNF. During the procedure, participants practice mindfulness while a ball on a screen moves based on their brain activity, targeting the frontoparietal network relative to the DMN. The study will test whether mbNF reduces functional connectivity within the DMN and whether longer dosing produces greater effects, with secondary outcomes including changes in depressive symptoms and rumination.

Consumer-Grade Neurofeedback With Mindfulness Meditation: Meta-Analysis.

Journal of medical Internet research April 17, 2025 Isaac Treves, Zia Bajwa, Keara D Greene et al. 8 citations

Consumer-grade neurofeedback devices used during meditation produce a modest reduction in psychological distress compared to control conditions, but no improvements in cognition, mindfulness, or physiological health. A systematic review and meta-analysis of 21 randomized studies (763 participants in training trials, 167 in within-participant designs) found a small effect for distress reduction (g=-0.16) but no evidence that the devices help users modulate brain targets or deepen meditation. Most studies used the Muse device and mindfulness apps as controls. The authors suggest observed benefits may stem from placebo effects (neurosuggestion) rather than genuine neurofeedback. Adverse effects were rarely assessed.

Connectome-Based Predictive Modeling of Trait Mindfulness.

Human brain mapping January 1, 2025 Isaac N Treves, Aaron Kucyi, Madelynn Park et al. 8 citations

Trait mindfulness—the tendency to attend to present experience non-judgmentally—is linked to better mental health, but its neural basis remains unclear. In the largest resting-state fMRI study of trait mindfulness to date, involving 367 meditation-naïve adults across three sites, no connections predicted overall trait mindfulness. However, neural models for two subscales, Acting with Awareness and Non-judging, were identified. Positive networks for these subscales involved distinct fronto-parietal and default-mode networks, while negative networks overlapped across subscales and included somatomotor, visual, and default-mode regions. Only negative networks generalized to predict subscale scores in some out-of-sample tests. Predictions negatively correlated with a mind-wandering model. The findings provide preliminary evidence for generalizable connectivity models of mindfulness facets, but incomplete generalization across sites and model overlap highlight the challenge of identifying robust brain markers.

Mindfulness-based Neurofeedback: A Systematic Review of EEG and fMRI studies.

bioRxiv : the preprint server for biology September 15, 2024 Isaac N Treves, Keara D Greene, Zia Bajwa et al. 7 citations preprint

A systematic review of EEG and fMRI studies combining mindfulness meditation with neurofeedback found that fMRI studies primarily aimed to downregulate the default-mode network (DMN). Although decreases in DMN activations were observed during neurofeedback, there is a lack of evidence for transfer effects, and most studies lacked adequate controls such as sham neurofeedback, so DMN decreases may be confounded by general task-related deactivation. EEG studies most robustly supported modulation of theta band activity. Both EEG and fMRI mindfulness-based neurofeedback have been implemented with high fidelity in clinical populations, but mental health benefits have not been established. The review recommends sham-controlled RCTs and clear reporting using CRED-NF guidelines.

Dynamic functional connectivity signatures of focused attention on the breath in adolescents.

Cerebral cortex (New York, N.Y. : 1991) February 5, 2025 Isaac N Treves, Aaron K Kucyi, Anna O Tierney et al. 1 citation

During a breath-counting task, 72 adolescents showed increased static connectivity within attention-direction and orienting networks and anticorrelations between attention networks and the default mode network compared to rest. Dynamic connectivity analysis revealed four distinct brain states, including one anticorrelated with the default mode network that was proportionally more present during the task. Brain state markers distinguished breathing tasks from rest and momentary on-task from off-task attention, but no brain states reflected between-individual behavioral variability.