权益分类	功能权益	普通用户	{{item.name}}会员
{{category.name}}	{{benefitItem.name}}

Multi-Modal Imaging of the Mechanisms Underlying Impaired Executive Attention After Traumatic Brain Injury

脑外伤后执行注意力受损机制的多模态成像

基本信息

批准号：
10316202
负责人：
Amy Kuceyeski
金额：
$ 52.76万
依托单位：
WEILL MEDICAL COLL OF CORNELL UNIV
依托单位国家：
美国
项目类别：
财政年份：
2017
资助国家：
美国
起止时间：
2017-12-01 至 2024-11-30
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10316202
关键词：
Acute Affect American Anatomy Anterior Attention Attentional deficit BRAIN initiative Back Biological Biological Markers Biology Brain Brain Injuries Cause of Death Chronic Classification Clinical Cognitive Cognitive deficits Communities Corpus striatum structure Data Development Diagnosis Diffusion Diffusion Magnetic Resonance Imaging Effectiveness of Interventions Electroencephalogram Electrophysiology (science)Evaluation Executive Dysfunction Exhibits Feasibility Studies Frequencies Funding Future Goals Image Impaired cognition Impairment Individual Injury Intervention Knowledge Lead Link Machine Learning Magnetic Resonance Imaging Measurement Measures Medial Mission Modality Modeling Multimodal Imaging National Institute of Neurological Disorders and Stroke Neuropsychology Outcome Patient Recruitments Patients Pattern Performance Persons Physiological Physiology Prognosis Prognostic Marker Prosencephalon Public Health Publishing Quality of life Recovery Rehabilitation therapy Research Research Support Role Salvelinus Techniques Testing Thalamic structure Therapeutic Intervention Traumatic Brain Injury Traumatic Brain Injury recovery Variant Work axon injury base clinical application clinically relevant cognitive testing disability effectiveness evaluation frontal lobe imaging modality improved indexing individualized medicine innovation insight nervous system disorder neuroimaging outcome prediction performance tests personalized predictions prognostic recruit response targeted treatment therapeutic target therapy development tractography translational impact white matter

项目摘要

Traumatic Brain Injury (TBI) is a leading cause of death and long-term disability, and there are more than 5.3 million persons in the US alone with chronic executive attention and cognitive dysfunction. There is a funda- mental gap in knowledge of the functional and structural mechanisms underlying executive attention impair- ments after TBI. Without this knowledge it will not be possible to establish reliable ways to predict potential for recovery or, ultimately, create individualized therapies. The long-term goal of this integrated research effort is to identify the mechanism(s) underlying cognitive deficits in TBI patients, as this will enable accurate classifica- tion of their impairments, more accurate prognoses and precise evaluation of the effectiveness of interventions. The overall objective of this proposal is to relate clinically applicable EEG metrics of executive attention to quantitative metrics of structural connectivity alterations within the anterior forebrain mesocircuit (medial frontal cortex, striatum and central thalamus) and to evaluate their role in predicting cognitive outcomes after TBI. The central hypothesis is that individually measured electrophysiologic responses and anatomical injuries within the anterior forebrain mesocircuit of TBI subjects will correlate with executive attention deficits, as measured by the ANT, and accurately predict broad cognitive outcomes. This hypothesis is based on preliminary work from two studies of EEG and diffusion MRI in TBI patients, as well as related published research supporting the underly- ing model in more severely brain-injured subjects. The rationale underlying the proposed research is that char- acterizing the relationship between the anterior forebrain mesocircuit and executive attention deficits at an indi- vidual level, using both physiological and anatomical measurements, will allow insight into the biological un- derpinnings of the deficits and help frame mechanistic approaches to future diagnosis and therapy. Guided by strong preliminary data, this hypothesis will be tested with two specific aims. The first Aim is to determine the extent to which executive attentional impairment, measured with the ANT, relates to injury-related changes in the anterior forebrain mesocircuit a) physiology (EEG) and b) white matter connectivity (diffusion MRI). Part c) of Aim 1 will integrate the two modalities and relate them back to clinically-applicable EEG. {Aim 2 is to a) cross-sectionally relate and b) longitudinally predict cognitive outcomes via cutting-edge machine learning techniques applied to imaging metrics collected in Aim 1.} The approach is innovative, in the applicant's opin- ion, because they propose to link attentional impairments, as measured by the ANT, to measures of physiology and connectivity on an individual basis and predict cognitive outcomes {using machine learning.} The pro- posed research is significant, because knowledge of the biology underlying attention impairment will allow for its evaluation as a prognostic measure and provide targets for effective individualized interventions. Ultimately, such knowledge has the potential to enable development of therapies that can dramatically improve the quality of life for millions that remain unable to return to prior levels of functioning within their communities after TBI.

创伤性脑损伤（TBI）是导致死亡和长期残疾的主要原因，有超过5.3例

项目成果

期刊论文数量（21）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Distinct functional and structural connections predict crystallised and fluid cognition in healthy adults.

DOI：
10.1002/hbm.25420
发表时间：
2021-07
期刊：
Human brain mapping
影响因子：
4.8
作者：
Dhamala E;Jamison KW;Jaywant A;Dennis S;Kuceyeski A
通讯作者：
Kuceyeski A

NeuroGen: Activation optimized image synthesis for discovery neuroscience.

DOI：
10.1016/j.neuroimage.2021.118812
发表时间：
2022-02-15
期刊：
NeuroImage
影响因子：
5.7
作者：
Gu Z;Jamison KW;Khosla M;Allen EJ;Wu Y;St-Yves G;Naselaris T;Kay K;Sabuncu MR;Kuceyeski A
通讯作者：
Kuceyeski A

Shared functional connections within and between cortical networks predict cognitive abilities in adult males and females.