6533b835fe1ef96bd129ebf0
RESEARCH PRODUCT
Towards a model-based cognitive neuroscience of stopping - a neuroimaging perspective.
Birte U. ForstmannAlexandra SebastianAlexandra SebastianDora Matzkesubject
Cognitive scienceNeural correlates of consciousnessComputational modelArtificial neural networkProcess (engineering)Computer scienceCognitive Neuroscience05 social sciencesPerspective (graphical)BrainCognitionNeuroimagingCognitive neuroscience050105 experimental psychology03 medical and health sciencesBehavioral Neuroscience0302 clinical medicineNeuropsychology and Physiological PsychologyCognitionNeuroimagingNeural PathwaysHumans0501 psychology and cognitive sciences030217 neurology & neurosurgeryPsychomotor Performancedescription
Our understanding of the neural correlates of response inhibition has greatly advanced over the last decade. Nevertheless the specific function of regions within this stopping network remains controversial. The traditional neuroimaging approach cannot capture many processes affecting stopping performance. Despite the shortcomings of the traditional neuroimaging approach and a great progress in mathematical and computational models of stopping, model-based cognitive neuroscience approaches in human neuroimaging studies are largely lacking. To foster model-based approaches to ultimately gain a deeper understanding of the neural signature of stopping, we outline the most prominent models of response inhibition and recent advances in the field. We highlight how a model-based approach in clinical samples has improved our understanding of altered cognitive functions in these disorders. Moreover, we show how linking evidence-accumulation models and neuroimaging data improves the identification of neural pathways involved in the stopping process and helps to delineate these from neural networks of related but distinct functions. In conclusion, adopting a model-based approach is indispensable to identifying the actual neural processes underlying stopping.
year | journal | country | edition | language |
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2018-07-01 | Neuroscience and biobehavioral reviews |