Conference proceeding
Preliminary study of neurocognitive differences in attention and fluency in Schizophrenia using fNIRS
2017 8th International IEEE/EMBS Conference on Neural Engineering (NER), pp 110-113
May 2017
Abstract
Schizophrenia is a severe psychiatric disorder that affects individuals across the course of their lifetime. Neurocognitive deficits are a typical characteristic of this disorder and are prominent in many cognitive domains including attention and fluency. Despite the recognized importance, patient cognition is rarely monitored as a regular part of treatment and even then, only with behavioral metrics. Functional Near Infrared Spectroscopy (fNIRS) is a non-invasive technique which measures cortical hemodynamic responses using near-infrared light with safe, portable, and cost-effective sensors. The measurement of fNIRS during cognitive processing tasks could offer objective insights into the dysfunction and cognitive inefficiency inherent in Schizophrenia. In this preliminary study, we examined cognition in patients with Schizophrenia and Controls under three different cognitive tasks (Continuous Performance Test, Verbal Fluency Test, Psychomotor Vigilance Test) to evaluate differences in behavioral and candidate biomarkers in the disorder. Our results support findings of left-hemispheric lateralization during language tasks, right-hemispheric lateralization during attention tasks, and imply task-related abnormal activation patterns in schizophrenia patients.
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Details
- Title
- Preliminary study of neurocognitive differences in attention and fluency in Schizophrenia using fNIRS
- Creators
- Adrian Curtin - Drexel Univ., Philadelphia, PA, USAHasan Ayaz - Sch. of Biomed. Eng. Sci. & Health Syst., Drexel Univ., Philadelphia, PA, USAJunfeng Junfeng Sun - Sch. of Biomed. Eng., Shanghai Jiao Tong Univ., Shanghai, ChinaLin Lin Cheng - Sch. of Biomed. Eng., Shanghai Jiao Tong Univ., Shanghai, ChinaJijun Jijun Wang - Sch. of Biomed. Eng., Shanghai Jiao Tong Univ., Shanghai, ChinaBanu Onaral - Sch. of Biomed. Eng. Sci. & Health Syst., Drexel Univ., Philadelphia, PA, USAShanbao Shanbao Tong - Sch. of Biomed. Eng., Shanghai Jiao Tong Univ., Shanghai, China
- Publication Details
- 2017 8th International IEEE/EMBS Conference on Neural Engineering (NER), pp 110-113
- Publisher
- IEEE
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- School of Biomedical Engineering, Science, and Health Systems
- Scopus ID
- 2-s2.0-85028620243
- Other Identifier
- 991014877859404721