TY - JOUR
T1 - A non-invasive hidden-goal test for spatial orientation deficit detection in subjects with suspected mild cognitive impairment
AU - Bažadona, Danira
AU - Fabek, Ivan
AU - Babić Leko, Mirjana
AU - Bobić Rasonja, Mihaela
AU - Kalinić, Dubravka
AU - Bilić, Ervina
AU - Raguž, Jakov Domagoj
AU - Mimica, Ninoslav
AU - Borovečki, Fran
AU - Hof, Patrick R.
AU - Šimić, Goran
N1 - Funding Information:
This work was funded by The Croatian Science Foundation grants IP-2014-09-9730 and IP-2019-04-3584 to GŠ, by the Scientific Centre of Excellence for Basic, Clinical and Translational Neuroscience CoRE-NEURO (“Experimental and clinical research of hypoxic-ischemic damage in perinatal and adult brain”; GA KK01.1.1.01.0007 funded by the European Union through the European Regional Development Fund), by the Croatian Agency for SMEs, Innovation and Investments (HAMAG-BICRO, grant UTT-0002, University of Zagreb), and in part by the NIH grant P50 AG005138 to PRH. GŠ conceived and directed the project, coordinated testing, and wrote the first draft of the paper; DB and MBR performed testing of subjects; IF designed the software and hardware of the ALZENTIA system with the help of GŠ, DB and MBL; MBL, GŠ, and DB performed the statistical analysis; PRH substantially contributed to the interpretation of data; all authors contributed to revising and editing the manuscript critically for important intellectual content. All authors approved the final version of the manuscript.
Funding Information:
This work was funded by The Croatian Science Foundation grants IP-2014-09-9730 and IP-2019-04-3584 to GŠ, by the Scientific Centre of Excellence for Basic , Clinical and Translational Neuroscience CoRE-NEURO (“Experimental and clinical research of hypoxic-ischemic damage in perinatal and adult brain”; GA KK01.1.1.01.0007 funded by the European Union through the European Regional Development Fund), by the Croatian Agency for SMEs, Innovation and Investments (HAMAG-BICRO, grant UTT-0002 , University of Zagreb), and in part by the NIH grant P50 AG005138 to PRH. GŠ conceived and directed the project, coordinated testing, and wrote the first draft of the paper; DB and MBR performed testing of subjects; IF designed the software and hardware of the ALZENTIA system with the help of GŠ, DB and MBL; MBL, GŠ, and DB performed the statistical analysis; PRH substantially contributed to the interpretation of data; all authors contributed to revising and editing the manuscript critically for important intellectual content. All authors approved the final version of the manuscript.
Publisher Copyright:
© 2019 Elsevier B.V.
PY - 2020/2/15
Y1 - 2020/2/15
N2 - Background: There is a need for highly sensitive and specific tests and biomarkers that would allow preclinical diagnosis of mild cognitive impairment (MCI) and Alzheimer's disease (AD), which would also enable timely intervention. New method: We have developed a new system (ALZENTIA) to help detect early MCI, mainly caused by AD. The system is based on a hidden-goal task (HGT) in which the human subject has to find a target that is not visible; as such, the navigation is based on a previously memorized target position, in relation to the starting position (egocentric variant) and/or other navigational landmarks (allocentric variant of the task). We present our preliminary results obtained in 33 patients with MCI and 91 healthy controls (HC). Results and comparison with existing methods: Between-group differences in the average error measured in allocentric, egocentric, and combined allocentric-egocentric subtests were statistically significant in MCI compared to HC. The high negative predictive values suggested high discriminative capacity and diagnostic potential for the HGT test as a tool to detect subjects in healthy population who will progress to MCI. Considering the low sensitivity of the Mini-Mental Status Examination and Montreal Cognitive Assessment tests, we believe that HGT can improve early identification of MCI patients who will progress to AD. Conclusion: The HGT carried out with the ALZENTIA system proved to be a reliable screening test to identify individuals with MCI from an aging cohort.
AB - Background: There is a need for highly sensitive and specific tests and biomarkers that would allow preclinical diagnosis of mild cognitive impairment (MCI) and Alzheimer's disease (AD), which would also enable timely intervention. New method: We have developed a new system (ALZENTIA) to help detect early MCI, mainly caused by AD. The system is based on a hidden-goal task (HGT) in which the human subject has to find a target that is not visible; as such, the navigation is based on a previously memorized target position, in relation to the starting position (egocentric variant) and/or other navigational landmarks (allocentric variant of the task). We present our preliminary results obtained in 33 patients with MCI and 91 healthy controls (HC). Results and comparison with existing methods: Between-group differences in the average error measured in allocentric, egocentric, and combined allocentric-egocentric subtests were statistically significant in MCI compared to HC. The high negative predictive values suggested high discriminative capacity and diagnostic potential for the HGT test as a tool to detect subjects in healthy population who will progress to MCI. Considering the low sensitivity of the Mini-Mental Status Examination and Montreal Cognitive Assessment tests, we believe that HGT can improve early identification of MCI patients who will progress to AD. Conclusion: The HGT carried out with the ALZENTIA system proved to be a reliable screening test to identify individuals with MCI from an aging cohort.
KW - Alzheimer's disease
KW - Early diagnosis
KW - Hidden-goal task
KW - Mild cognitive impairment
KW - Screening test
KW - Spatial orientation
UR - http://www.scopus.com/inward/record.url?scp=85076704306&partnerID=8YFLogxK
U2 - 10.1016/j.jneumeth.2019.108547
DO - 10.1016/j.jneumeth.2019.108547
M3 - Review article
C2 - 31830545
AN - SCOPUS:85076704306
SN - 0165-0270
VL - 332
JO - Journal of Neuroscience Methods
JF - Journal of Neuroscience Methods
M1 - 108547
ER -