Using Multimodal Neuroimaging and Real-World Experience Sampling to Understand Negative Affect and Paranoid Ideation in Psychosis

使用多模态神经影像和现实世界经验采样来理解精神病中的负面情绪和偏执观念

• 批准号: 10616744
• 负责人: JACK J. BLANCHARD
• 金额: $ 72.31万
• 依托单位: UNIV OF MARYLAND, COLLEGE PARK
• 依托单位国家: 美国
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-06-01 至 2025-04-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10616744
• 关键词: Acceleration; Acute; Amendment; Amygdaloid structure; Animals; Anterior; Anxiety; Arousal; Belief; Benign; Biological; Brain; Brain imaging; Cellular Phone; Clinical Psychology; Communities; Complex; Cues; Data; Delusions; Development; Diagnosis; Dimensions; Discipline; Disease; Emotional; Enrollment; Environment; Etiology; Face; Fostering; Functional Magnetic Resonance Imaging; Functional disorder; Goals; Human; Image; Individual; Insula of Reil; Intervention; Life; Measures; Mediating; Mental disorders; Methods; Modeling; National Institute of Mental Health; Neurophysiology - biologic function; Neurosciences Research; Paranoia; Pathway interactions; Patients; Pattern; Perception; Perfusion; Play; Prefrontal Cortex; Process; Productivity; Psychiatric Diagnosis; Psychiatry; Psychopathology; Psychoses; Psychotic Disorders; Regulation; Reporting; Research; Research Domain Criteria; Research Personnel; Resistance; Rest; Role; Sampling; Scanning; Schizophrenia; Stimulus; Structure of terminal stria nuclei of preoptic region; Support System; Surveys; Symptoms; System; Technical Expertise; Techniques; Technology; Testing; Therapeutic; Time; United States National Institutes of Health; Work; affective neuroscience; anxious; biopsychosocial; brain based; clinically significant; digital intervention; disease classification; emotional stimulus; experience; ideation; innovation; insight; man; multidisciplinary; multimodal neuroimaging; negative affect; neural; neuroimaging; neurophysiology; novel; public health relevance; response; social; theories; trait; translational model; vigilance

Paranoid ideation—the mistaken belief that intentional harm is likely to occur—spans a continuum, from mild suspicion to persecutory delusions. Among patients with schizophrenia and other psychosis disorders, elevated levels of paranoia are common, debilitating, and challenging to treat. The cues (public environments, strangers) and processes (anxiety) that promote paranoia have grown increasingly clear, but the brain bases of these pathways are unknown, thwarting the development of mechanistic models and, ultimately, the development of more effective or tolerable biological interventions. Leveraging our team’s unique multidisciplinary expertise and productive track record of NIH-sponsored research, this project will use an innovative combination of paranoia assessments, advanced neuroimaging techniques, and smartphone-based experience sampling to clarify the factors governing paranoia. We will enroll the full spectrum of paranoia without gaps or discontinuities—including psychosis patients with frank persecutory delusions and matched community controls. These data will allow us to rigorously examine the hypothesized contribution of brain circuits responsible for triggering anxiety and evaluating the threat potential of everyday social cues, such as faces. Integrating neuroimaging measures with experience-sampling data will enable us to extend these insights to the real world—a key step to establishing therapeutic relevance—for the first time. It has become increasingly clear that categorical psychiatric diagnoses (e.g. schizophrenia) present significant barriers to understanding pathophysiology. Our focus on dimensional measures of paranoia overcomes many of these barriers and dovetails with the National Institute of Mental Health’s Strategic Objectives and Research Domain Criteria (RDoC) initiative. This work would provide a potentially transformative opportunity to test and refine theory, deepen our understanding of etiology, guide the development of new translational models, discover new treatment targets, and provide an integrative biopsychosocial framework for unifying research across investigators, approaches, and scholarly guilds.

偏执的想法——认为可能会发生故意伤害的错误信念——跨越了一个连续体，从轻微到严重

项目成果

Reforming clinical psychological science training: The importance of collaborative decision-making with trainees.

改革临床心理科学培训：与受训者协作决策的重要性。

• DOI: 10.1177/21677026221129820
• 发表时间: 2024
• 期刊: Clinical psychological science : a journal of the Association for Psychological Science
• 作者: Gee,DylanG;Shackman,AlexanderJ
• 通讯作者: Shackman,AlexanderJ

Training the Next Generation of Clinical Psychological Scientists: A Data-Driven Call to Action.

• DOI: 10.1146/annurev-clinpsy-081219-092500
• 发表时间: 2022-05-09
• 期刊: ANNUAL REVIEW OF CLINICAL PSYCHOLOGY
• 影响因子: 18.4
• 作者: Gee, Dylan G.;DeYoung, Kathryn A.;McLaughlin, Katie A.;Tillman, Rachael M.;Barch, Deanna M.;Forbes, Erika E.;Krueger, Robert F.;Strauman, Timothy J.;Weierich, Mariann R.;Shackman, Alexander J.
• 通讯作者: Shackman, Alexander J.

Precision behavioral phenotyping as a strategy for uncovering the biological correlates of psychopathology.

• DOI: 10.1038/s44220-023-00057-5
• 发表时间: 2023-05
• 期刊: Nature. Mental health
• 作者: Tiego, Jeggan;Martin, Elizabeth A;DeYoung, Colin G;Hagan, Kelsey;Cooper, Samuel E;Pasion, Rita;Satchell, Liam;Shackman, Alexander J;Bellgrove, Mark A;Fornito, Alex
• 通讯作者: Fornito, Alex

A Hierarchical Taxonomy of Psychopathology (HiTOP) Primer for Mental Health Researchers.

• DOI: 10.1177/21677026211017834
• 发表时间: 2022-03
• 期刊: CLINICAL PSYCHOLOGICAL SCIENCE
• 影响因子: 4.8
• 作者: Conway, Christopher C.;Forbes, Miriam K.;South, Susan C.
• 通讯作者: South, Susan C.

Personality Neuroscience: An Emerging Field with Bright Prospects.

• DOI: 10.5964/ps.7269
• 发表时间: 2022-10
• 期刊: Personality Science
• 作者: C. DeYoung;R. Beaty;E. Genç;R. Latzman;L. Passamonti;M. Servaas;A. Shackman;L. Smillie;R. N. Spreng;E. Viding;Jan Wacker