Literature DB >> 12806053

Attentional phenotypes for the analysis of higher mental function.

John Fossella1, Michael I Posner, Jin Fan, James M Swanson, Donald W Pfaff.   

Abstract

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.

Mesh:

Year:  2002        PMID: 12806053      PMCID: PMC6009361          DOI: 10.1100/tsw.2002.93

Source DB:  PubMed          Journal:  ScientificWorldJournal        ISSN: 1537-744X


  12 in total

1.  Neural correlates of the attention network test in schizophrenia.

Authors:  Volker Backes; Thilo Kellermann; Bianca Voss; Jörn Krämer; Conny Depner; Frank Schneider; Ute Habel
Journal:  Eur Arch Psychiatry Clin Neurosci       Date:  2011-09-29       Impact factor: 5.270

2.  Modulations among the alerting, orienting and executive control networks.

Authors:  Alicia Callejas; Juan Lupiàñez; María Jesús Funes; Pío Tudela
Journal:  Exp Brain Res       Date:  2005-10-29       Impact factor: 1.972

3.  Mindfulness training modifies subsystems of attention.

Authors:  Amism P Jha; Jason Krompinger; Michael J Baime
Journal:  Cogn Affect Behav Neurosci       Date:  2007-06       Impact factor: 3.282

4.  Measuring attention in the hemispheres: the lateralized attention network test (LANT).

Authors:  Deanna J Greene; Anat Barnea; Kristin Herzberg; Anat Rassis; Maital Neta; Amir Raz; Eran Zaidel
Journal:  Brain Cogn       Date:  2007-06-27       Impact factor: 2.310

5.  Study on the executive function of attention in depression patients based on SPECT technology.

Authors:  Xiaoyi Li; Hao Wu; Cen Lou; Baoping Xing; Enyan Yu
Journal:  Int J Clin Exp Med       Date:  2014-04-15

Review 6.  Emotion-related self-regulation and its relation to children's maladjustment.

Authors:  Nancy Eisenberg; Tracy L Spinrad; Natalie D Eggum
Journal:  Annu Rev Clin Psychol       Date:  2010       Impact factor: 18.561

7.  Attentional networks in developmental dyscalculia.

Authors:  Sarit Askenazi; Avishai Henik
Journal:  Behav Brain Funct       Date:  2010-01-07       Impact factor: 3.759

8.  Understanding mother-adolescent conflict discussions: concurrent and across-time prediction from youths' dispositions and parenting.

Authors:  Nancy Eisenberg; Claire Hofer; Tracy L Spinrad; Elizabeth T Gershoff; Carlos Valiente; Sandra H Losoya; Qing Zhou; Amanda Cumberland; Jeffrey Liew; Mark Reiser; Elizabeth Maxon
Journal:  Monogr Soc Res Child Dev       Date:  2008

9.  Threat-related attentional biases: an analysis of three attention systems.

Authors:  Tracy A Dennis; Chao-Cheng Chen; Bruce D McCandliss
Journal:  Depress Anxiety       Date:  2008       Impact factor: 6.505

10.  Genetic Relations Between Effortful and Attentional Control and Symptoms of Psychopathology in Middle Childhood.

Authors:  Kathryn Lemery-Chalfant; Lisa Doelger; H Hill Goldsmith
Journal:  Infant Child Dev       Date:  2008-07-30
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.