NEUROIMAGING IN AUTISM
NEUROIMAGING IN AUTISM
批准号:
6219101
负责人:
STEPHEN R DAGER
金额:
$1.44万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
1999
资助国家:
美国
项目状态:
已结题
起止时间:
1999-06-01 至 2000-05-31
关键词:
aspartate autism behavioral /social science research tag bioimaging /biomedical imaging brain imaging /visualization /scanning child behavior child behavior disorders child psychology choline clinical research cognition human subject hyperplasia lactates longitudinal human study magnetic resonance imaging mental retardation middle childhood (6-11) neuroanatomy neurochemistry neuropsychological tests neuropsychology nuclear magnetic resonance spectroscopy preschool child (1-5)
中文摘要
脑解剖、脑化学与脑功能的关系
行为/认知特征将在儿童中表现出来
自闭症与智力低下儿童和
两个临床组儿童的正常兄弟姐妹。这些
关系将在两个时间点进行比较,以评估
潜在的大脑发育过程被假设为
在患有自闭症的儿童中使用。具体而言,在参考文献中
脑体积增大的重复性很好的影像表现
在自闭症中,如果大脑肥大反映了由
神经元过度增殖和/或细胞凋亡中断
在产前或围产期,则组内差异
脑解剖/脑化学预计保持稳定
跨越这两个时间点。另一方面,如果结构
异常反映起病时突触修剪异常
在学龄前时期,或神经胶质增生症,紧急情况或
预计第二次将扩大群体差异
指向。
对于60名自闭症儿童的样本,40名患有精神疾病的儿童
发育迟缓和20名年龄匹配的3-4岁正常兄弟姐妹
旧的,从2-D,3-D和3-D MRI测量大脑解剖,
来自二维质子回波平面的局部脑化学
光谱成像(百事可乐)和行为/认知
获得。自闭症儿童和智力低下儿童
将纵向跟踪,这些措施将重新评估为
6-7岁。另外一组正常的兄弟姐妹将
在6-7岁时进行评估,以提供标准化数据。作为以下内容的一部分
这项建议,额外的规范性脑体积数据将
由Jay Giedd博士在NIMH提供,将用于
也是为了评估站点之间的测量可靠性。
基于灰度分割的形态测量分析
技术、子区域分割和三维面绘制
技术将被用来表征细微的差异
脑部解剖学。百事可乐将被用来检查特定地区
大脑化学的差异;针对大脑解剖区域
表现出结构异常,大脑化学模式
N-乙酰天冬氨酸(NIAA)、胆碱和乳酸水平将有所帮助
以区分这种异常是否会反映神经元
而不是神经胶质突起。此外,NAA的模式
改变将有助于区分异常的突触修剪
发育过程。我们预测大脑中的化学物质
异常会映射到相应的大脑结构
神经心理任务中的异常和损害
评估这些大脑区域。百事可乐的综合测量
对核磁共振检查的敏感性和特异性
比MRI更准确地划分自闭症儿童亚群
仅检测解剖学上的差异。
英文摘要
Relationships between brain anatomy, brain chemistry and
behavior/cognition will be characterized among children with
autism in comparison to children with mental retardation and
normal siblings of children from the two clinical groups. These
relationships will be compared at 2 time points to assess
underlying brain developmental processes hypothesized to be
operative among children with autism. Specifically, in reference
to the well-replicated imaging findings of increased brain volum
in autism, if brain hypertrophy reflects hyperplasia arising from
over-proliferation of neurons and/or disruption of apoptosis
during the pre or perinatal periods, then group differences in
brain anatomy/brain chemistry are expected to remain stable
across the two time points. If, on the other hand, structure
abnormalities reflect synaptic pruning abnormalities with onset
during the preschool period, or gliosis, emergance or
amplification of group differences is expected at the second time
point.
For samples of 60 children with autism, 40 children with mental
retardation, and 20 age-matched normal siblings aged 3-4 years
old, measures of brain anatomy from 2-D and 3-D and 3-D MRI,
regional brain chemistry from 2-D proton echo-planar
spectroscopic imaging (PEPSI) and behavior/cognition will be
obtained. Children with autism and those with mental retardation
will be followed longitudinally and these measures reassessed at
6-7 years of age. An additional group of normal siblings will
be assessed at ages 6-7 to provide normative data. As part of
this proposal, addditional normative brain volumetric data will
be made available by Dr. Jay Giedd at the NIMH which will be used
also to assess measurement reliability between sites.
Morphometric analysis using intensity-based segmentation
techniques, subregion segmentation and 3-D surface rendering
techniques will be used to characterize subtle differences in
brain anatomy. PEPSI will be used to examine regionally-specific
differences in brain chemistry; for brain anatomical regions
exhibiting structural abnormalities, brain chemistry patterns of
N-acetyl asparatate (NIAA), choline, and lactate levels will help
to distinguish whether such abnormalities will reflect neuronal
as opposed to glial processes. Additionally, patterns of NAA
change will help to distinguish abnormal synaptic pruning
developmental processes. We predict that brain chemical
abnormalities will map both to corresponding brain structural
abnormalities and impairments on neuropsychological tasks
assessing those brain regions. PEPSI measurements in combination
with MRI is expected to be more sensitive and specific for
demarcating subpopulations of children with autism than MRI
detection of anatomical differences alone.
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