Abstract
Dementia is a syndromic diagnosis, encompassing various stage of severity and different anatomo-physiological substrates. The hippocampus is one of the first and most affected brain regions affected by both Alzheimer's disease (AD) and mild cognitive impairment (MCI). Moreover, chronic cerebrovascular disease (CVD) is one of the major risk factor for developing dementia. Recent studies have demonstrated different relationship between the anatomical substrate and scalp electroencephalography (EEG) markers. Indeed, modifications of EEG rhythmicity is not proportional to the hippocampal atrophy, whereas changes in EEG activity are directly proportional to the load of subcortical CVD. The computation of the EEG spectral power and the analysis of the functional coupling of brain areas, through linear coherence, are two of the most known processing methods in EEG research. Two specific EEG markers, theta/gamma and alpha3/alpha2 frequency ratio have been reliable associated to the atrophy of amygdalo–hippocampal complex. Moreover, theta/gamma ratio has been related to MCI conversion in dementia and alpha3/alpha2 ratio has been specifically related to MCI conversion in AD. The functional coupling of brain areas is also modulated by hippocampal atrophy. In the MCI subjects, hippocampal atrophy is linked to an increase of interhemispheric coherence seen on frontal and temporal regions whereas subcortical CVD is linked to a decrease of coherence in fronto-parietal regions. In the present study the most significant results of recent studies on correlation between scalp EEG, cognitive decline, and anatomical substrate have been reviewed, with particular attention to the relationships between EEG changes and hippocampal atrophy. The following review is not intended to provide a comprehensive summary of the literature. Rather it identifies and discusses selected studies that are designed to find the specific correlation between scalp EEG markers and anatomo-pathological substrate. The principal aim is to propose a plausible neurophysiological theoretical model of the cognitive decline as mirrored by both structural and functional tools of research.
Introduction
The hippocampus is one of the first and most affected brain regions impacted by both Alzheimer's disease (AD) and mild cognitive impairment (MCI; Arnold et al., ; Bobinski et al., ; Price and Morris, ; Bennett et al., ; Schonheit et al., ). In mild-to-moderate AD patients, it has been shown that hippocampal volumes are 27% smaller than in normal elderly controls (Callen et al., ; Du et al., ), whereas patients with MCI show a volume reduction of 11% (Du et al., ). So far, from a neuropathological point of view, the progression of disease from early or very early MCI to later stages seems to follow a linear course. Nevertheless, there is some evidence from functional (Gold et al., ; Della Maggiore et al., ; Hamalainen et al., ) and biochemical studies (Lavenex and Amaral, ) that the process of conversion from non-demented to clinically evident demented state is not so linear. Recent fMRI studies have suggested increased medial temporal lobe (MTL) activations in MCI subjects vs controls, during the performance of memory tasks (Dickerson et al., , ). Nonetheless, fMRI findings in MCI are discrepant, as MTL hypoactivation similar to that seen in AD patients (Pariente et al., ) has also been reported (Machulda et al., ). Recent postmortem data from subjects – who had been prospectively followed and clinically characterized up to immediately before their death – indicate that hippocampal choline acetyltransferase levels are reduced in Alzheimer's dementia, but in fact they are upregulated in MCI (Lavenex and Amaral, ), presumably because of reactive upregulations of the enzyme activity in the unaffected hippocampal cholinergic axons. Quantitative electroencephalography (EEG) have been demonstrated a reliable tool in identifying specific patterns in dementia research (John and Prichep, ; Prichep et al., ; Coburn et al., ; John and Prichep, ). Previous EEG studies (Jelic et al., , ; Babiloni et al., ; Ferreri et al., ) have shown a decrease – ranging from 8 to 10.5 Hz (low alpha) – of the alpha frequency power band in MCI subjects, when compared to normal elderly controls (Zappoli et al., ; Huang et al., ; Jelic et al., ; Koenig et al., ; Babiloni et al., ). However, a recent study has shown an increase – ranging from 10.5 to 13 Hz (high alpha) – of the alpha frequency power band, on the occipital region in MCI subjects, when compared to normal elderly and AD patients (Babiloni et al., ). These somewhat contradictory findings may be explained by the possibility that MCI subjects have different patterns of plastic organization during the disease, and that the activation (or hypoactivation) of different cerebral areas is based on various degrees of hippocampal atrophy. If this hypothesis is true, then EEG changes of rhythmicity have to occur non-proportionally to the hippocampal atrophy, as previously demonstrated in a study of auditory evoked potentials (Golob et al., ).
Hippocampal Atrophy and EEG Markers
A recent study (Moretti et al., ), has confirmed the hypothesis that the relationship between hippocampal volume and EEG rhythmicity is not proportional to the hippocampal atrophy, as revealed by the analyses of both the relative band powers and the individual alpha markers. Such a pattern seems to emerge because, rather than a classification based on clinical parameters, discrete hippocampal volume differences (about 1 cm3) are analyzed. Indeed, the group with moderate hippocampal atrophy showed the highest increase in the theta power band on frontal regions, and of the alpha2 and alpha3 power bands on frontal and temporo-parietal areas (Figures 1–3).
Figure 1
Figure 2

Schematic diagrams of the possible structures involved in the thalamo-cortical arrhythmia in groups without hippocampal atrophy and with mild hippocampal atrophy. The EEG changes in the mild hippocampal-atrophy group are probably due to a prevalent depolarizing effect of the brainstem cholinergic system on the thalamus, because of initial neuronal loss in the cholinergic basal forebrain. On the other hand, the initial hippocampal atrophy gives rise to an increase in the theta activity, but it is not able to trigger thalamo-cortical synchronization activity (see Moretti et al.,
Figure 3

Schematic diagrams of the possible structures involved in the thalamo-cortical arrhythmia in groups with moderate and severe hippocampal atrophy. The progressive hippocampal atrophy, as in the moderate hippocampal-atrophy group, triggers thalamo-cortical synchronization, with increase in the alpha power band. This is likely to happen because the return pathway from the cortex to the hippocampus is not direct, but it mainly relays to the midline and mediodorsal thalamic nuclei. The decrease in the values for the alpha frequency markers in the moderate hippocampal-atrophy group also suggests a greater hyperpolarization state of thalamo-cortical pathways. As the hippocampal atrophy progresses, like in the group with severe hippocampal atrophy, the thalamo-cortical activity is sustained not by cortical activation, but by the prevailing cholinergic desynchronizing activity of the brainstem, with a decrease in the relative alpha power but the highest values for the alpha indices (see Moretti et al.,
Recently, two specific EEG markers, theta/gamma and alpha3/alpha2 frequency ratio have been reliable associated to the atrophy of amygdalo–hippocampal complex (AHC; Moretti et al.,
Figure 4

ANOVA results of theta/gamma and alpha3/alpha2 relative power ratio. In the graph post hoc results are shown.
A large body of literature has previously demonstrated that in subjects with cognitive decline is present an increase of theta relative power (Moretti et al.,
The amygdalo–hippocampal network is a key structure in the generation of theta rhythm. More specifically, theta synchronization is increased between lateral amygdala and CA1 region of hippocampus during long-term memory retrieval, but not during short-term or remote memory retrieval (Seidenbecher et al.,
Hippocampal Atrophy and Functional Coupling of Cortical Brain Areas
The functional coupling of brain areas is also modulated by hippocampal atrophy. In the MCI subjects, hippocampal atrophy is linked to an increase of interhemispheric coherence seen on frontal and temporal regions whereas subcortical cerebrovascular disease (CVD) is linked to a decrease of coherence in fronto-parietal regions. Moreover, significant differences of EEG functional coupling were present in the fronto-temporal network in MCI patients with severe CVD and severe hippocampal atrophy, but with a different pattern. In high CVD, the EEG coherence in low frequencies was increased (with the exception of alpha1 band) while coherence in the fast frequencies was decreased in a way directly proportional to increasing damage. In high hippocampal atrophy a change of coherence was present in the delta and alpha2 frequency bands that was not proportional to the hippocampal damage, fast frequencies being unaffected. Moreover, our results show a lateralization (right hemisphere for CVD and left hemisphere for hippocampal atrophy) of the pathological modifications of functional coupling (Moretti et al.,
An increase of neuronal excitability could explain the pathological modifications of the functional coupling (Moretti et al.,
Figure 5

ANOVA statistical results. On the left part of the figure statistical ANOVA results of the first session analysis (normal-MCI whole group); on the right part of the figure statistical ANOVA results of the second session analysis (MCI subgroups-matched normal old group; (MCI-CHOL, MCI with greater cholinergic damage, MCI-CVD, MCI with greater cerebrovascular damage; MCI-HIPP, MCI with greater hippocampal atrophy; see Moretti et al.,
Hippocampal Atrophy, Cognitive Deficits (Memory and Attention), and EEG Activity
The vulnerability and damage of the connections of hippocampus with amygdala could affect reconsolidation of long-term memory and give rise to memory deficits and behavioral symptoms. Several experiments shows that amygdala activity is prominent during period of intense arousal, e.g., the anticipation of a noxious stimulus (Parè et al.,
The increase of alpha3/alpha2 frequency ratio in our results support the concomitance of anterior attentive mechanism impairment in subject with MCI, even though there are not overt clinical deficits. The mayor association of the increase of alpha3/alpha2 frequency ratio with the hippocampal formation within the AHC, suggest that this filter activity is carried out by hippocampus and its input–output connections along anterior attentive circuit and AHC. Interestingly, a recent work has demonstrated that the mossy fiber (MF) pathway of the hippocampus connects the dentate gyrus to the auto-associative CA3 network, and the information it carries is controlled by a feedforward circuit combining disynaptic inhibition with monosynaptic excitation. Analysis of the MF associated circuit revealed that this circuit could act as a highpass filter (Zalay and Bardakjian,
Linking the Cholinergic Hypothesis, the Hippocampal Atrophy and the Brain Rhythms Modifications in Subjects with MCI and Alzheimer's Disease
Hippocampus and porencephalic cholinergic pathways are strictly connected. There are two main pathways of the hippocampal connections: the polysynaptic hippocampal pathway encompassing posterior cingulate/retrosplenial and medial temporal cortex and the direct hippocampal pathway encompassing the temporal pole, temporo-parietal association cortex, and dorsal prefrontal cortex. Recent studies have demonstrated that the polysynaptic hippocampal pathway is early affected in MCI whereas the direct pathway is affected later, in patients with AD (Frisoni et al.,
Figure 6

Theoretical, neurophysiological and clinical effects of damage to the cholinergic pathways (see Moretti et al.,
In this view, such process could be imagined: (1) damage of corticopetal cholinergic pathways determining an impairment of the multisynaptic hippocampal pathway. The damage of this posterior pathway induces an interruption of large brain networks and a reorganization in smaller loco-regional areas. Alpha2 rhythm is the expression of functional coupling of large brain areas whereas alpha3 suggests synchronization of smaller areas. So, the increase of alpha3/alpha2 ratio is a reasonable consequence; (2) the damage of corticopetal cholinergic pathways could induce an excitation/disinhibition of the cholinergic pathways that innervates the AHC. This cholinergic action could stimulate the direct hippocampal pathway relatively spared in the initial stage of AD. Together with the loss of inhibition mechanism, an increase of theta/gamma ratio is produced together with and increase of medial temporal functional coupling; Given that the theta rhythm generation seems more functionally linked with amygdala (Moretti et al.,
Figure 7

Correlation between alpha3/alpha2 power rhythm ratio and volumes of hippocampal subregions in AD patients.
In particular, in AD patients the increase of both alpha3 rhythm spectral power and alpha3/alpha2 power ratio is correlated with the decrease of left hippocampal gray matter volumes. In particular, hippocampal areas involved in correlation are: presubiculum, dorsal and ventral subiculum, CA2–CA3 sectors of the body, CA1 mesial and lateral portion of the head. These findings confirms previous results obtained in a large cohort of patient with MCI who convert in AD. Obviously, this physiological model needs further evidence supporting the relationship with the clinical symptoms. Anyway, although speculative, it could be an interesting starting point for future works.
Statements
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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Summary
Keywords
EEG markers, Alzheimer's disease, mild cognitive impairment, alpha rhythm, theta rhythm
Citation
Moretti DV, Frisoni GB, Binetti G and Zanetti O (2011) Anatomical Substrate and Scalp EEG Markers are Correlated in Subjects with Cognitive Impairment and Alzheimer's Disease. Front. Psychiatry 1:152. doi: 10.3389/fpsyt.2010.00152
Received
12 June 2010
Accepted
17 December 2010
Published
04 January 2011
Volume
1 - 2010
Edited by
Mark A. Smith, Case Western Reserve University, USA
Reviewed by
Kerry Coburn, Mercer University School of Medicine, USA; Leslie Prichep, New York University School of Medicine, USA
Copyright
© 2011 Moretti, Frisoni, Binetti and Zanetti.
This is an open-access article subject to an exclusive license agreement between the authors and the Frontiers Research Foundation, which permits unrestricted use, distribution, and reproduction in any medium, provided the original authors and source are credited.
*Correspondence: Davide V. Moretti, Via Pilastroni, 4 25125 Brescia, Italy; e-mail: davide.moretti@afar.it
This article was submitted to Frontiers in Neurodegeneration, a specialty of Frontiers in Psychiatry.
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