The flexible and interactive neural, computational and neurobiological mechanisms underpinning semantic cognition and its disorders.
The flexible and interactive neural, computational and neurobiological mechanisms underpinning semantic cognition and its disorders.
批准号:
MR/R023883/1
负责人:
Matthew Lambon Ralph
金额:
$191.62万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2018
资助国家:
英国
项目状态:
未结题
起止时间:
2018 至 --
中文摘要
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英文摘要
Semantic memory refers to the rich database of knowledge we have about the meanings of words, objects, people and all the stimuli present in our environment. We activate this information when we comprehend a word or recognise an object. We use the same knowledge for speech or non-verbal activities such as object use. The aim of communication, itself, is for meaning to be conveyed between people. It is evident, therefore, that semantic knowledge is crucial for many everyday activities both at work and at home. When this type of knowledge disintegrates or becomes inaccessible after brain damage, patients become significantly disabled in many aspects of their lives. Imagine, for example, being able to comprehend only a small proportion of the words in everyday conversation, a letter or newspaper; being stuck with significant word-finding problems; or being unable to understand everyday symbols or road signs. Sadly, these kinds of problems are a common feature of many types of brain disease. Semantic impairment is a characteristic of certain types of dementia, brain infections and after stroke or neurosurgery. In our last research programme, we developed the necessary methods and clinical links to undertake unique, detailed comparisons of different patient groups (semantic dementia, semantic aphasia, herpes simplex virus encephalitis, Alzheimer's disease, resection for temporal lobe epilepsy, and Wernicke's aphasia) and linked these patient studies directly with parallel explorations of the healthy semantic system. In particular, we discovered that there are two subsystems - one for coding the database of semantic information and a separate brain network for manipulating and shaping this information depending on the task requirements or context.The core aims of our continuing research programme, therefore, are (a) to investigate the nature and function of different key areas within each semantic brain network; (b) examine the flexible interaction between the networks when the system comes under pressure and the associated compensatory processes that are triggered by brain damage; and (c) we will begin to explore both the brain structures and brain chemicals that are involved in semantic function. These steps will be used to improve: detection of semantic deficits; differential diagnosis; clinical management; and evidence-based interventions. Our ultimate aim is to build up a complete picture and model of the network of brain regions that support semantic processing. We have pioneered a new type of mathematical model which mirrors brain regions and their connections, and after training, generates human semantic behaviours. When these models are damaged they can mimic the types of impairment found in different patient groups. We will use the new findings from the studies of patients and healthy participants to generate a model of semantic processing that includes the networks for both semantic knowledge and semantic manipulation. We will use this model to reproduce each patient group's pattern of performance. We will then be able to use this model not only to understand the nature of semantic problems across all these different patient groups but also to use the model to gain new insights about minimising these problems and for generating new interventions that could be used by speech therapists with these patient groups.
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DOI:
10.1002/hbm.26454
发表时间:
2023-12-01
期刊:
HUMAN BRAIN MAPPING
影响因子:
4.8
作者:
[Branzi, Francesca M., Ralph, Matthew A. Lambon]
通讯作者:
Ralph, Matthew A. Lambon
Revealing the neural networks that extract conceptual gestalts from continuously evolving or changing semantic contexts
揭示从不断发展或变化的语义上下文中提取概念格式塔的神经网络
DOI:
10.1101/666370
发表时间:
2019
期刊:
影响因子:
--
作者:
[Branzi F]
通讯作者:
Branzi F
The Left Angular Gyrus Is Causally Involved in Context-dependent Integration and Associative Encoding during Narrative Reading.
左角回在叙事阅读过程中因果性地参与上下文相关的整合和联想编码。
DOI:
10.17863/cam.65384
发表时间:
2021
期刊:
影响因子:
--
作者:
[Branzi F]
通讯作者:
Branzi F
DOI:
10.1016/j.neuroimage.2020.116802
发表时间:
2020-10-15
期刊:
NeuroImage
影响因子:
5.7
作者:
[Branzi FM, Humphreys GF, Hoffman P, Lambon Ralph MA]
通讯作者:
Lambon Ralph MA
The dynamic interactive neurocognitive systems underpinning language and semantic cognition, and their disorders.
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批准号:MC_UU_00030/9
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项目类别:Intramural
-
资助金额:$350.79万
-
财政年份:2022
-
负责人:Matthew Lambon Ralph
-
依托单位:
Perturbing physiological systems: Measuring the stimulated the brain
-
批准号:MC_PC_20046
-
项目类别:Intramural
-
资助金额:$22.55万
-
财政年份:2021
-
负责人:Matthew Lambon Ralph
-
依托单位:
UKDP: Integrated DEmentiA research environment (IDEA)
-
批准号:MR/M024997/1
-
项目类别:Research Grant
-
资助金额:$776.12万
-
财政年份:2015
-
负责人:Matthew Lambon Ralph
-
依托单位:
Towards a unified, computationally-implemented neural network for understanding semantic cognition and its disorders.
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批准号:MR/J004146/1
-
项目类别:Research Grant
-
资助金额:$214.35万
-
财政年份:2012
-
负责人:Matthew Lambon Ralph
-
依托单位:
Pathfound: Revealing the neural basis of semantic memory and its breakdown in semantic dementia and stroke aphasia
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批准号:G0501632/1
-
项目类别:Research Grant
-
资助金额:$98.76万
-
财政年份:2006
-
负责人:Matthew Lambon Ralph
-
依托单位:
海外基金