Page 78 - MEGIN Book Of Abstracts - 2023

Keywords: Alzheimer’s disease, Computational modeling, neurophysiological changes can be reliable early mark-
Hyperexcitability, MEG, Neural mass models, Neuronal ers of dementia.
network, Oscillatory slowing
Keywords: Alzheimer disease, ERP, brain oscillations, fron-
Alzheimer's research & therapy (2022), Vol. 14, No. 1 totemporal dementia, vascular dementia
(35879779) (0 citations)
Reviews in the neurosciences (2023), Vol. 34, No. 1
(35724724) (0 citations)
Functional changes in brain oscillations in
dementia: a review (2023)
A multi-site, multi-participant
Giustiniani, Andreina; Danesin, Laura; Bozzetto, magnetoencephalography resting-state dataset to
Beatrice; Macina, AnnaRita; Benavides-Varela, Silvia; study dementia: The BioFIND dataset (2022)
Burgio, Francesca
Vaghari, Delshad; Bruna, Ricardo; Hughes, Laura E;
IRCCS San Camillo Hospital, via Alberoni 70, 30126 Venice, Nesbitt, David; Tibon, Roni; Rowe, James B; Maestu,
Italy; Department of Developmental Psychology and Social- Fernando; Henson, Richard N
ization, University of Padua, via Venezia 8, 35131 Padova,
Italy; Padova Neuroscience Center, University of Padova, MRC Cognition and Brain Sciences Unit, University of Cam-
35131 Padova, Italy bridge, UK; Department of Electrical and Computer Engineer-
ing, Tarbiat Modares University, Iran; Department of Experi-
ABSTRACT A growing body of evidence indicates that mental Psychology, Complutense University of Madrid, Spain;
several characteristics of electroencephalography (EEG) Center for Biomedical Technology, Laboratory of Cognitive
and magnetoencephalography (MEG) play a functional and Computational Neuroscience (UCM-UPM), Spain; MRC
role in cognition and could be linked to the progres- Cognition and Brain Sciences Unit, University of Cambridge,
sion of cognitive decline in some neurological diseases UK; Cambridge University Hospitals NHS Trust and Depart-
such as dementia. The present paper reviews previ- ment of Clinical Neurosciences, University of Cambridge,
ous studies investigating changes in brain oscillations UK; MRC Cognition and Brain Sciences Unit, University of
associated to the most common types of dementia, Cambridge, UK; Department of Psychiatry, University of
namely Alzheimer's disease (AD), frontotemporal Cambridge, UK. Electronic address: rik.henson@mrc-cbu.cam.
degeneration (FTD), and vascular dementia (VaD), with ac.uk
the aim of identifying pathology-specific patterns of
alterations and supporting differential diagnosis in ABSTRACT Early detection of Alzheimer's Disease (AD)
clinical practice. The included studies analysed changes is vital to reduce the burden of dementia and for devel-
in frequency power, functional connectivity, and event- oping effective treatments. Neuroimaging can detect
related potentials, as well as the relationship between early brain changes, such as hippocampal atrophy in
electrophysiological changes and cognitive deficits. Mild Cognitive Impairment (MCI), a prodromal state of
Current evidence suggests that an increase in slow AD. However, selecting the most informative imaging
wave activity (i.e., theta and delta) as well as a gen- features by machine-learning requires many cases.
eral reduction in the power of faster frequency bands While large publically-available datasets of people
(i.e., alpha and beta) characterizes AD, VaD, and FTD. with dementia or prodromal disease exist for Magnetic
Additionally, compared to healthy controls, AD exhibits Resonance Imaging (MRI), comparable datasets are
alteration in latencies and amplitudes of the most com- missing for Magnetoencephalography (MEG). MEG of-
mon event related potentials. In the reviewed studies, fers advantages in its millisecond resolution, revealing
these changes generally correlate with performances in physiological changes in brain oscillations or connec-
many cognitive tests. In conclusion, particularly in AD, tivity before structural changes are evident with MRI.

 ontents  Index 57
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