PhD Scientific Days 2022

Neurosciences II.

Alteration of Visuo-spatial System as an Early Marker of Cognitive Decline

Előadó neve

Berente, Dalida Borbala

Előadó munkahelye

Neurocognitive Research Center; National Institute of Mental Health, Neurology and Neurosurgery

Előadó telefonszáma

+36209874926

Előadó e-mail címe

dalida.berente@gmail.com

Az előadás címe

Alteration of Visuo-spatial System as an Early Marker of Cognitive Decline

Szerző(k) neve és munkahelye

Dalida Borbala Berente1, 2, Janos Zsuffa2, Tom Werber3, Mate Kiss4, Anita Drotos2, Anita Kamondi2,5, Gabor Csukly6, Andras Attila Horvath2,7
1 Semmelweis University, School of PhD Studies; 26 Ulloi ut, 1085-Budapest, Hungary
2 Neurocognitive Research Center; National Institute of Mental Health, Neurology and Neurosurgery; 57 Amerikai ut, 1145-Budapest, Hungary
3 Semmelweis University, Faculty of Medicine; 26 Ulloi ut, 1085-Budapest, Hungary
4 Siemens Healthcare, Budapest, Hungary; 51-57 Gizella ut, 1143-Budapest, Hungary
5 Semmelweis University, Department of Neurology; 6 Balassa utca, 1083-Budapest, Hungary
6 Research Group of Clinical Neuroscience and Neuroimaging; Semmelweis University, Department of Psychiatry and Psychotherapy; 6 Balassa utca, 1083-Budapest, Hungary
7 Semmelweis University, Department of Anatomy, Histology and Embryology; 58 Tuzolto utca, 1094-Budapest, Hungary

Bemutatás módja

Szóbeli

Szekció

Neurosciences II.

Language of the presentation

English

Preferred session

Neurosciences

Összefoglaló szövege

Introduction: Alzheimer’s disease (AD) is the most common cause of major neurocognitive disorders (NCDs) in the elderly. Ideal screening methods for large patient groups with NCDs are yet to be developed. Latest results suggest that decline in visuomotor function appears in the early stages of the disease which may have screening potential.
Aims: Our aim was to develop an automated, electronic screening tool for Mild Cognitive Impairment (MCI) the prodromal phase of NCDs.
Methods: 68 individuals participated in our study, 46 healthy controls and 22 patients with clinically defined MCI. They underwent detailed neurological and neuropsychological evaluation, MRI acquisition and used a computer-based diagnostic algorithm called Precognize. Detailed statistical analysis was applied for all data.
Results: Significant differences were found between HC and MCI groups in mouse movement characteristics. Entropy of the mouse movements showed the most significant difference between the two groups for both the left (F=5.24; p=0.001) and the right hand (F=8.46; p<0.001). Correlation analysis between motor data and neuropsychological test scores revealed that positive correlation was strongest between motor parameters and Clinical Demenatia Rating scale score (average r:-0.36, all p’s<0.001). Age, gender and anxiety did not influence the motor parameters (all p’s>0.05).
Conclusion: Based on our results, hand movement analysis might serve a screening purpose as the Precognize system shows promising potential for the early recognition of MCI. Our findings are promising for the future development of an automatic, digital screening method for MCI.
Funding: National Brain Research Program II (2017-1.2.1-NKP-2017-00002), Hungarian Scientific Research Fund 2019 of the National Research, Development and Innovation Office (PD- 132652), Janos Bolyai Research Scholarship of the Hungarian Academy of Sciences (bo_78_20_2020), the Development of scientific workshops in medical, health sciences and pharmacy training (EFOP-3.6.3-VEKOP-16-2017-00009). This is an EU Joint Programme- Neurodegenerative Disease Research (JPND) project. The project is supported through the following funding organization under the aegis of JPND- www.jpnd.eu (National Research, Development and Innovation, Hungary, 2019-2.1.7-ERA-NET-2020-00006).

University and Doctoral School

Semmelweis University, János Szentágothai Doctoral School of Neurosciences

Supervisor

Andras Attila Horvath MD, PhD

Publication of my abstract

I give consent to the publication of my abstract on the website of the congress.

Kind

Szabad

Status

elfogadva

Accepted presentation method

szóbeli

Előadás fájl jóváhagyás

nem rendelkezett róla

Előadó

6880

Start

15:45

End

16:00

Authors (legacy)

Dalida Borbala Berente1, 2, Janos Zsuffa2, Tom Werber3, Mate Kiss4, Anita Drotos2, Anita Kamondi2,5, Gabor Csukly6, Andras Attila Horvath2,7
1 Semmelweis University, School of PhD Studies; 26 Ulloi ut, 1085-Budapest, Hungary
2 Neurocognitive Research Center; National Institute of Mental Health, Neurology and Neurosurgery; 57 Amerikai ut, 1145-Budapest, Hungary
3 Semmelweis University, Faculty of Medicine; 26 Ulloi ut, 1085-Budapest, Hungary
4 Siemens Healthcare, Budapest, Hungary; 51-57 Gizella ut, 1143-Budapest, Hungary
5 Semmelweis University, Department of Neurology; 6 Balassa utca, 1083-Budapest, Hungary
6 Research Group of Clinical Neuroscience and Neuroimaging; Semmelweis University, Department of Psychiatry and Psychotherapy; 6 Balassa utca, 1083-Budapest, Hungary
7 Semmelweis University, Department of Anatomy, Histology and Embryology; 58 Tuzolto utca, 1094-Budapest, Hungary