Attentional Phenotypes for the Analysis of Higher Mental Function
We outline a strategy to relate normal cognitive processes to candidate genes. First, brain imaging is used to specify a cognitive process “attention” in terms of the neural networks involved. Next, evidence is presented showing that the operation of each network involves a dominant neuromodulator....
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2002-01-01
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| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1100/tsw.2002.93 |
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| _version_ | 1832564804249714688 |
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| author | John Fossella Michael I. Posner Jin Fan James M. Swanson Donald W. Pfaff |
| author_facet | John Fossella Michael I. Posner Jin Fan James M. Swanson Donald W. Pfaff |
| author_sort | John Fossella |
| collection | DOAJ |
| description | We outline a strategy to relate normal cognitive processes to candidate genes. First, brain imaging is used to specify a cognitive process “attention” in terms of the neural networks involved. Next, evidence is presented showing that the operation of each network involves a dominant neuromodulator. Then we discuss development of a task designed to measure the efficiency of each network in normal individuals and consider evidence on the independence, reliability, and heritability of the networks. DNA from cheek swabs of subjects who performed the task are then used to examine candidate polymorphisms in genes related to the transmitters. We then examine the ability of these candidate alleles to predict the efficiency of relevant networks. This process has demonstrated that candidate genes are related to specific networks of attention to a greater degree than to overall performance as measured by reaction time and accuracy. These findings require replication and possible extension to other cognitive processes. |
| format | Article |
| id | doaj-art-15cdda0c98bf43b78a6f7c61030060fd |
| institution | Kabale University |
| issn | 1537-744X |
| language | English |
| publishDate | 2002-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-15cdda0c98bf43b78a6f7c61030060fd2025-02-03T01:10:06ZengWileyThe Scientific World Journal1537-744X2002-01-01221722310.1100/tsw.2002.93Attentional Phenotypes for the Analysis of Higher Mental FunctionJohn Fossella0Michael I. Posner1Jin Fan2James M. Swanson3Donald W. Pfaff4Sackler Institute for Developmental Psychobiology, Department of Psychiatry, Weill Medical College of Cornell University, 1300 York Avenue, New York, NY, 10021, USASackler Institute for Developmental Psychobiology, Department of Psychiatry, Weill Medical College of Cornell University, 1300 York Avenue, New York, NY, 10021, USASackler Institute for Developmental Psychobiology, Department of Psychiatry, Weill Medical College of Cornell University, 1300 York Avenue, New York, NY, 10021, USASackler Institute for Developmental Psychobiology, Department of Psychiatry, Weill Medical College of Cornell University, 1300 York Avenue, New York, NY, 10021, USALaboratory of Neurobiology and Behavior, Rockefeller University, USAWe outline a strategy to relate normal cognitive processes to candidate genes. First, brain imaging is used to specify a cognitive process “attention” in terms of the neural networks involved. Next, evidence is presented showing that the operation of each network involves a dominant neuromodulator. Then we discuss development of a task designed to measure the efficiency of each network in normal individuals and consider evidence on the independence, reliability, and heritability of the networks. DNA from cheek swabs of subjects who performed the task are then used to examine candidate polymorphisms in genes related to the transmitters. We then examine the ability of these candidate alleles to predict the efficiency of relevant networks. This process has demonstrated that candidate genes are related to specific networks of attention to a greater degree than to overall performance as measured by reaction time and accuracy. These findings require replication and possible extension to other cognitive processes.http://dx.doi.org/10.1100/tsw.2002.93 |
| spellingShingle | John Fossella Michael I. Posner Jin Fan James M. Swanson Donald W. Pfaff Attentional Phenotypes for the Analysis of Higher Mental Function The Scientific World Journal |
| title | Attentional Phenotypes for the Analysis of Higher Mental Function |
| title_full | Attentional Phenotypes for the Analysis of Higher Mental Function |
| title_fullStr | Attentional Phenotypes for the Analysis of Higher Mental Function |
| title_full_unstemmed | Attentional Phenotypes for the Analysis of Higher Mental Function |
| title_short | Attentional Phenotypes for the Analysis of Higher Mental Function |
| title_sort | attentional phenotypes for the analysis of higher mental function |
| url | http://dx.doi.org/10.1100/tsw.2002.93 |
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