Using Magnetoencephalography to Investigate Aberrant Neural Synchrony in Prodromal Schizophrenia: A Translational Biomarker Approach
Using Magnetoencephalography to Investigate Aberrant Neural Synchrony in Prodromal Schizophrenia: A Translational Biomarker Approach
批准号:
MR/L011689/1
负责人:
Peter Uhlhaas
金额:
$104.02万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2014
资助国家:
英国
项目状态:
已结题
起止时间:
2014 至 --
中文摘要
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英文摘要
Schizophrenia is a common mental disorder which is associated with a range of complaints, including voice-hearing (hallucinations) and strange thoughts (delusions) as well as pronounced impairments in memory and attention. Because these symptoms lead to a breakdown of thought-processes, people who are diagnosed with the disorder often cannot live independently and no effective cure currently exists. Schizophrenia is typically diagnosed during the transition from puberty to early adulthood, a period critical for social and occupational development. Accordingly, one important goal of current research is to identify individuals who have an elevated risk of developing schizophrenia prior to the full outbreak of the disorder. If possible, this could reduce or even prevent the profound and long-lasting disruptions that occur to people's lives. One important prerequisite for early intervention are diagnostic techniques which allow reliable prediction of those individuals who may have a particularly high chance of developing the disorder. In the current study, we will use a brain imaging technique, so-called Magnetoencephalograph or MEG, which is a machine that allows the measurement of brain activity with excellent temporal resolution, to develop a novel diagnostic test. In particular, we are interested in finding out whether changes in rhythms of neural activity that the brain generates, so-called "oscillations", may be impaired prior to the outbreak of the disorder and whether those can be useful for predicting the risk of developing schizophrenia. Brain oscillations have been shown to occur during normal brain functioning and are closely linked to the ability to perceive, memorize and attend to information. Moreover, we know from previous studies that patients with established schizophrenia show prominent impairments in the generation of these oscillations which could be one reason for their cognitive difficulties as well as for their hallucinations and delusions. Thus, it appears that brain oscillations could be a key to understanding the causes of the disorder.For the proposed project, we will recruit a large sample of individuals from psychiatric services in Edinburgh and Glasgow who show already behavioural and psychological problems and conduct detailed interviews. If their mental state shows certain signs which could be indicative of schizophrenia but do not meet yet the full diagnostic criteria, we will perform a MEG-measurement as well as a magnetic resonance imaging scan. The latter will also allow us to assess the presence of two neurotransmitters in the brain which are important for proper brain functioning.After the initial brain imaging, we will follow-up these participants for a period of up to two years to assess whether their mental state has changed. If individuals during this period experience a deterioration in their mental health, we will assess them again with an extended interview. In addition to participants at risk for the development of schizophrenia, we will also recruit a group of individuals from the general populations in order to compare their patterns of brain activity with those who may be at-risk for schizophrenia. Through our research, we hope to find a way of diagnosing schizophrenia with brain imaging techniques earlier which could represent an important step to prevent the occurrence of the profound deficits in behavior and brain functioning. Moreover, through our measurements of brain oscillations and associated neurochemicals, we hope to gain in insight into the underlying causes which could be important for the development of novel therapies.
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Investigating temporal and prosodic markers in clinical high-risk for psychosis participants using automated acoustic analysis.
使用自动声学分析研究精神病参与者临床高风险的时间和韵律标记。
DOI:
10.48350/173592
发表时间:
2022
期刊:
影响因子:
--
作者:
[Bianciardi B]
通讯作者:
Bianciardi B
DOI:
10.1111/eip.13357
发表时间:
2022-10-07
期刊:
EARLY INTERVENTION IN PSYCHIATRY
影响因子:
2
作者:
[Bianciardi, Bianca, Gajwani, Ruchika, Uhlhaas, Peter J.]
通讯作者:
Uhlhaas, Peter J.
Intact Mismatch Negativity Responses in Clinical High-Risk for Psychosis and First-Episode Psychosis: Evidence from Source-Reconstructed Event-Related Fields and Time-Frequency Data.
精神病和首发精神病临床高风险中的完整不匹配消极反应:来自源重建事件相关场和时频数据的证据。
DOI:
10.48350/186845
发表时间:
2023
期刊:
影响因子:
--
作者:
[Dheerendra P]
通讯作者:
Dheerendra P
DOI:
10.3389/fpsyt.2022.859322
发表时间:
2022
期刊:
FRONTIERS IN PSYCHIATRY
影响因子:
4.7
作者:
[Grent-'t-Jong, Tineke, Gajwani, Ruchika, Gross, Joachim, Gumley, Andrew, I, Lawrie, Stephen M., Schwannauer, Matthias, Schultze-Lutter, Frauke, Williams, Stephen R., Uhlhaas, Peter J.]
通讯作者:
Uhlhaas, Peter J.
DOI:
10.1016/j.nicl.2021.102722
发表时间:
2021
期刊:
NeuroImage. Clinical
影响因子:
--
作者:
[Cruz G, Grent-'t-Jong T, Krishnadas R, Palva JM, Palva S, Uhlhaas PJ]
通讯作者:
Uhlhaas PJ
Identifying Neural Signatures of Auditory-Predictive Processing in Schizophrenia: A Multi-Modal Imaging Approach
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批准号:MR/T003138/1
-
项目类别:Research Grant
-
资助金额:$114.86万
-
财政年份:2020
-
负责人:Peter Uhlhaas
-
依托单位:
海外基金