Mindscape Collective is now The Consciousness Library. Same library, new name. You may need to sign in again. About the change
Skip to content

Frederick M Hecht

8 papers in the library · 14 citations · publishing 2020-2025

Papers

Preventing Depression Relapse: A Qualitative Study on the Need for Additional Structured Support Following Mindfulness-Based Cognitive Therapy.

Global advances in integrative medicine and health January 1, 2023 Chelsea J Siwik, Shelley R Adler, Patricia J Moran et al. 7 citations

Mindfulness-based cognitive therapy (MBCT) reduces depression relapse, but about one-third of graduates relapse within a year. Focus groups with MBCT graduates and teachers revealed that the course is highly valued and sometimes life-changing. However, graduates struggle to maintain mindfulness practices and sustain benefits after the course ends, despite using community groups, apps, or retaking the course. One participant described finishing MBCT as feeling like "falling off a cliff." Both graduates and teachers strongly desired additional support, such as a maintenance program, to help sustain long-term benefits and reduce relapse risk.

Development and Initial Validation of Mindfulness-Based Pain Reduction (MBPR) in Patients With Chronic Low Back Pain.

Journal of Pain Research January 1, 2025 Wolf Mehling, Carrie E Brintz, Wendy Hartogensis et al. 4 citations

A modified mindfulness program for chronic low back pain, called Mindfulness-Based Pain Reduction (MBPR), was developed and tested in 58 patients. The curriculum added mindful interoceptive exposure to pain, pain neuroscience education, and yoga postures for low back pain. Participants attended 80% of sessions, and two-thirds of those receiving MBPR showed clinically meaningful improvements in pain intensity and interference scores (PEG scores improved >30%). The program was feasible and acceptable, warranting further testing in a randomized controlled trial.

A Validation Study of the Mindfulness-Based Interventions Teaching Assessment Criteria for Assessing Mindfulness-Based Intervention Teacher Skill: Inter-Rater Reliability and Predictive Validity.

Global advances in integrative medicine and health January 1, 2024 Frederick M Hecht, Rebecca S. Crane, Patricia J Moran et al. 2 citations

Teaching quality in mindfulness-based stress reduction (MBSR) courses, measured by the Mindfulness-Based Interventions: Teaching Assessment Criteria (MBI:TAC), shows fair to good inter-rater reliability depending on the number of raters. Using a single rater, reliability was fair (intraclass correlation coefficients 0.33–0.56 across six domains); with three raters, reliability was good (0.6–0.8). Among 152 MBSR students, anxiety, depression, fatigue, sleep, and social role function improved from before the course to two and four months later (improvements of 2.3 to 6.3 points). Higher MBI:TAC ratings predicted greater anxiety reduction: each one-unit increase in composite teaching rating was associated with a 0.31-point greater decrease in anxiety score. No significant relationships were found for other health domains.

Intervention Fidelity in Mindfulness-Based Research and Practice: Overview of the Special Collection and State of the Field.

Global advances in integrative medicine and health January 1, 2025 Frederick M Hecht, Rebecca S. Crane 1 citation

Mindfulness-Based Programs (MBPs) are increasingly used in health care, education, criminal justice, workplaces, and community settings worldwide, with some becoming standard care in publicly funded systems. Efficacy and cost-effectiveness research shows promising results, but assessing and ensuring fidelity of program delivery is still at an early stage. Without robust approaches to teaching skill and adherence to program form, dissemination and implementation could be compromised. This special collection presents research and practice on MBP intervention fidelity in teacher training, implementation, and governance. The introductory paper summarizes the collection, analyzes the field's current state, and outlines steps needed to advance understanding of these issues.

Mindfulness-Based Cognitive Therapy for Depression, Taking It Further (MBCT-D-TiF): An Assessment of an Intervention Development Study.

Global advances in integrative medicine and health January 1, 2025 Chelsea J Siwik, Jessica M. Harrison, Willem Kuyken et al.

A maintenance program called MBCT-D-TiF, designed for graduates of Mindfulness-Based Cognitive Therapy (MBCT) who want structured guidance to sustain their mindfulness practice, was feasible and acceptable in a pilot test. In round one, 14 participants received the program; in round two, 20 were randomized to the program or a waitlist. Attendance was high: all weekly sessions and at least 75% of monthly sessions. Most participants rated weekly sessions (77.1%) and monthly sessions (66.7%) as very or extremely helpful. Qualitative themes included the group's role in social connection, support, and accountability; mental health benefits such as reduced impact of depression and anxiety; and a need for additional support to maintain home practice after weekly sessions ended.

Mind your pain: A single-arm feasibility study to assess a smartphone-based interoceptive attention training for patients with chronic low back pain.

PLoS One January 1, 2024 Wolf Mehling, Irina A Strigo, Veronica Goldman et al.

A 2-minute mindful attention exercise guided by a smartphone app, repeated several times daily for 8 weeks, helped people with chronic low back pain. Pain intensity dropped from 4.8 to 3.1 on a 0-10 scale, and a combined measure of pain intensity and interference (PEG score) improved from 13.7 to 8.4. Twenty-one of 29 participants had at least a 30% improvement in PEG score. Participants reported becoming aware of their usual avoidance of pain, were surprised that pain sensations varied over time, and found that focusing on pain reduced its threat. Many described pain in 3D shapes with changing colors, temperature, and density. The approach may be a beneficial alternative to ignoring or distracting from pain.

Focus on the Breath: Brain Decoding Reveals Internal States of Attention During Meditation.

Frontiers in Human Neuroscience January 1, 2020 Helen Y. Weng, Jarrod A Lewis-Peacock, Frederick M Hecht et al.

Multi-voxel pattern analysis of fMRI data can recognize five internal attentional states—breath attention, mind wandering, self-referential processing, attention to feet, and attention to sounds—in individual participants with accuracy well above chance (over 41% vs. 20% chance). In a mixed sample of 16 experienced meditators and novices, classifiers trained on a directed attention task successfully identified these states in 87.5% of participants. When applied to a separate 10-minute meditation session, the classifiers indicated that participants spent more time attending to breath than mind wandering or self-referential processing. The findings suggest that objective, participant-level measurement of mental states during meditation is feasible, potentially improving assessment of internally-oriented attention cultivated by meditation.

Toward a Compassionate Intersectional Neuroscience: Increasing Diversity and Equity in Contemplative Neuroscience.

Frontiers in Psychology January 1, 2020 Helen Y. Weng, Mushim P. Ikeda, Jarrod A Lewis-Peacock et al.

Mindfulness and compassion meditation are thought to promote prosocial behavior, but prior research has lacked diversity, limiting generalizability. To address this, researchers propose Intersectional Neuroscience, a framework that adapts research procedures to be inclusive of underrepresented groups through community engagement and individualized multivariate methods. Partnering with a diverse U.S. meditation center, they adapted fMRI screening and recruitment to include racial/ethnic minorities, gender and sexual minorities, people with disabilities, neuropsychiatric disorders, and lower-income individuals. They scanned 15 diverse meditators (80% racial/ethnic minorities, 53% gender and sexual minorities) and used individualized machine learning on fMRI data to decode mental states during breath-focused meditation. All participants' unique brain patterns were recognized significantly above chance. This demonstrates feasibility of inclusive neuroscience to develop individualized neural metrics of meditation.