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Susan Whitfield-Gabrieli

17 papers in the library · 1,966 citations · publishing 2012-2025

Papers

Default Mode Network Activity and Connectivity in Psychopathology

Annual Review of Clinical Psychology March 29, 2012 Susan Whitfield-Gabrieli, Judith M. Ford 1,485 citations

The default mode network (DMN), a set of brain regions more active at rest than during demanding tasks, shows abnormal hyperactivation and hyperconnectivity in schizophrenia and depression. In schizophrenia, this may contribute to excessive self-reference and problems with attention and working memory. In depression, DMN hyperactivity may underlie negative rumination. Greater DMN suppression in healthy brains is linked to better performance on attention-focused tasks. The review considers these findings in relation to the DMN's psychological functions and its alteration across various neuropsychiatric disorders.

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.

Real-time fMRI neurofeedback reduces auditory hallucinations and modulates resting state connectivity of involved brain regions: Part 2: Default mode network -preliminary evidence

Psychiatry Research January 14, 2020 Clemens C C Bauer, Kana Okano, Satrajit Ghosh et al. 87 citations

Auditory hallucinations in schizophrenia are linked to overactivity and hyperconnectivity in the default mode network and reduced anticorrelation with the central executive network. Patients were trained with real-time fMRI neurofeedback and meditation strategies to modulate these networks. The intervention reduced default mode network hyperconnectivity and increased anticorrelation between the default mode and central executive networks. Changes in individual default mode network connectivity correlated with reductions in auditory hallucination frequency and severity. This provides the first empirical evidence that meditation-enhanced neurofeedback can directly alter resting state network activity and reduce auditory hallucinations.

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 N 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 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.

Connectome predictive modeling of trait mindfulness

bioRxiv (Cold Spring Harbor Laboratory) July 14, 2024 Isaac N Treves, Aaron Kucyi, Madelynn Park et al. 1 citation preprint

Trait mindfulness—the tendency to attend to present-moment 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 adults across three samples, researchers used connectome predictive modeling to test whether brain connectivity patterns could predict mindfulness scores. No connections predicted overall trait mindfulness, but models for two subscales—Acting with Awareness and Non-judging—were identified. Positive networks for these subscales involved fronto-parietal and default-mode networks, respectively. Negative networks, which overlapped across subscales, included somatomotor, visual, and default-mode connections. Only negative networks generalized to predict subscale scores in some out-of-sample datasets, and predictions correlated negatively with a mind-wandering model. The incomplete generalization and model overlap highlight the challenge of identifying robust brain markers for mindfulness facets.

Default mode network anti-correlation as a transdiagnostic biomarker of cognitive function

April 14, 2024 Vaibhav Tripathi, Ishaan Batta, Andre Zamani et al. preprint

The default mode network (DMN) supports self-referential thinking, memory, and understanding others. Its functional connectivity with frontoparietal and dorsal attention networks is anti-correlated: when attention turns outward, the DMN deactivates. This switching between internal and external modes, mediated by salience networks, may indicate cognitive health. Resting-state fMRI enables large-scale datasets for standardized connectivity benchmarks. This review examines DMN connectivity metrics as potential biomarkers of cognitive state in attention, mind wandering, meditation, and clinical conditions like anxiety, depression, ADHD, and PTSD. It also addresses reliability issues and offers recommendations for using connectivity measures as biomarkers of cognitive health.

Real-time fMRI neurofeedback modulates auditory cortex activity and connectivity in schizophrenia patients with auditory hallucinations: A controlled study.

Psychiatry research. Neuroimaging October 1, 2025 Clemens C C Bauer, Jiahe Zhang, Francesca Morfini et al.

Auditory hallucinations affect 60-80% of schizophrenia patients and often resist antipsychotic treatment. This randomized, sham-controlled trial tested whether real-time fMRI neurofeedback targeting the superior temporal gyrus, combined with mindfulness meditation, produces specific neural changes beyond placebo. Twenty-three adults with medication-resistant hallucinations practiced mindfulness meditation while receiving neurofeedback from either the superior temporal gyrus or motor cortex. Both groups reported reduced hallucinations after neurofeedback, with no group differences in symptom reduction. However, real neurofeedback produced greater reductions in secondary auditory cortex activation and connectivity between auditory cortex and cognitive control regions (dorsolateral prefrontal cortex and anterior cingulate), which persisted in a crossover condition. Mindfulness meditation independently reduced primary auditory cortex activation. Region-specific neurofeedback targeting modulates auditory-cognitive control networks, potentially restoring the balance between bottom-up sensory processing and top-down control.

Mindfulness-based neurofeedback: A systematic review of EEG and fMRI studies

bioRxiv September 15, 2024 I. Treves, Keara D Greene, Zia Bajwa et al.

A systematic review of EEG and fMRI studies that combine mindfulness meditation with neurofeedback (mbNF) found that fMRI studies primarily target downregulation of the default-mode network (DMN). Although some studies report decreases in DMN activation during neurofeedback, there is insufficient evidence for lasting transfer effects, and most studies lacked adequate control conditions such as sham neurofeedback, so DMN decreases may reflect general task-related deactivation rather than a specific effect of mbNF. EEG studies most consistently show modulation of theta band activity. Both EEG and fMRI mbNF have been implemented with high fidelity in clinical populations, but mental health benefits have not been established. The review recommends sham-controlled randomized trials and clearer reporting.

Functional network antagonism and consciousness.

Network neuroscience (Cambridge, Mass.) January 1, 2022 Athena Demertzi, Aaron Kucyi, Adrián Ponce-Alvarez et al.

Anticorrelations between the default mode network and other brain regions are proposed as a physiological marker of preserved consciousness. The article argues that these anticorrelations express the brain's capacity for segregation—selective functional connectivity between areas—mediated by neural inhibition that regulates global and local inhibitory activity. While other mechanisms may also produce anticorrelations, neural inhibition helps explain how network metastability is disrupted when local and global neural balance is altered. The authors suggest that if the brain cannot host anticorrelations, the individual likely lacks subjective experience. This link may aid understanding of consciousness and guide interventions for consciousness disorders where anticorrelations are affected.

Mindfulness training reduces stress and amygdala reactivity to fearful faces in middle-school children.

Behavioral Neuroscience December 1, 2019 Clemens C C Bauer, Camila Caballero, Ethan Scherer et al.

Mindfulness training in middle-school children reduces stress and alters brain function. Forty children were randomly assigned to eight weeks of mindfulness or coding training. Before training, higher stress was linked to greater right amygdala activity when viewing fearful faces. After training, children who learned mindfulness reported lower stress and showed reduced right amygdala response to fearful faces, along with stronger connectivity between the amygdala and the ventromedial prefrontal cortex. These brain changes occurred outside of meditation, suggesting the benefits generalize. The findings indicate that mindfulness can be integrated into school curricula and that its stress-reducing effects involve dampening amygdala reactions to negative stimuli.

Understanding marijuana's effects on functional connectivity of the default mode network in patients with schizophrenia and co-occurring cannabis use disorder: A pilot investigation.

Schizophrenia Research April 1, 2018 Susan Whitfield-Gabrieli, Adina S Fischer, Angela Henricks et al.

In a pilot study, patients with schizophrenia and cannabis use disorder showed over-connectivity in the default mode network (DMN) at rest, which correlated with more severe positive symptoms, and reduced anticorrelation between the DMN and the executive control network (ECN). After smoking a 3.6% THC cannabis cigarette or ingesting a 15 mg THC pill, DMN hyperconnectivity decreased and DMN-ECN anticorrelation increased. The degree of anticorrelation in healthy controls and in patients after cannabinoid administration positively correlated with working memory performance. The results suggest that DMN connectivity can change, which may inform future treatments targeting circuit-level dysfunction.