ORIGINAL ARTICLE
INTERSUBJECT VARIABILITY OF THALAMIC ACTIVATION DURING GENERATION OF BERGER’S ALPHA RHYTHM
 
More details
Hide details
1
Bioimaging Research Center, World Hearing Center of the Institute of Physiology and Pathology of Hearing, Warsaw/Kajetany, Poland
CORRESPONDING AUTHOR
Mateusz Rusiniak   

Mateusz Rusiniak, World Hearing Center, Mokra 17 Street, Kajetany 05-830 Nadarzyn, Poland, e-mail: m.rusiniak@ifps.org.pl
Publication date: 2020-04-15
 
J Hear Sci 2015;5(2):16–22
 
KEYWORDS
ABSTRACT
Background:
The aim of the present work is to investigate the relationship between spontaneous electroencephalographic (EEG) brain activity at 8–13 Hz frequency (Berger’s rhythm) and thalamus activation. The leading theory of how Berger’s rhythm is generated suggests a thalamo–occipital circuit, but there is still much uncertainty as to the role of the thalamus.

Material and Methods:
We used a Siemens Magnetom 3T Trio scanner and a 64-channel NeuroScan SynAmps2 EEG system to examine 36 healthy young male adults. The study paradigm consisted of 30-s blocks with eyes closed alternated with 30-s blocks with eyes open, both repeated six times. The EEG data was preprocessed as follows: 1) fMRI gradient artifact removal; 2) BCG reduction; 3) 1–20 Hz band-pass filtration. Alpha rhythm segments were marked in the preprocessed data. fMRI data was preprocessed using typical procedures (motion correction, normalization, smoothing), and then a general linear model (GLM) analysis was performed using alpha segments derived from the EEG as events. A modified hemodynamic response function suitable for examining thalamus physiology was applied.

Results:
EEG data produced a typical spatial distribution of the alpha rhythm, mostly elicited in the parieto–occipital electrodes. Group-level analysis of the fMRI data failed to reveal any activation in the thalamus. However, further investigation revealed three subgroups of patients: 1) those who had a signal decrease in the left medial dorsal nucleus; 2) those with positive activation of thalamic structures; and 3) those where no activation was detected in the thalamus.

Conclusions:
The thalamus might be involved differently in alpha rhythm generation from one subject to another. The observed intersubject variability might be caused by physiological mechanisms underlying Berger’s rhythm.

 
REFERENCES (42)
1.
Berger PDH. Über das Elektrenkephalogramm des Menschen. Arch Für Psychiatr Nervenkrankh, 1929; 87: 527–70.
 
2.
Niedermeyer E. The normal EEG of the waking adult.: 149–73.
 
3.
Da Silva FH, van Lierop TH, Schrijer CF, van Leeuwen WS. Organization of thalamic and cortical alpha rhythms: spectra and coherences. Electroencephalogr Clin Neurophysiol, 1973; 35: 627–39.
 
4.
Lopes Da Silva FH, Storm Van Leeuwen W. The cortical source of the alpha rhythm. Neurosci Lett, 1977; 6: 237–41.
 
5.
Lopes Da Silva FH, Vos JE, Mooibroek J, Van Rotterdam A. Relative contributions of intracortical and thalamo-cortical processes in the generation of alpha rhythms, revealed by partial coherence analysis. Electroencephalogr Clin Neurophysiol, 1980; 50: 449–56.
 
6.
Andersen P, Andersson SA. Physiological basis of the alpha rhythm. Appleton-Century-Crofts; 1968.
 
7.
Başar E, Schürmann M, Başar-Eroglu C, Karakaş S. Alpha oscillations in brain functioning: an integrative theory. Int J Psychophysiol, 1997; 26: 5–29.
 
8.
Schürmann M, Başar E. Functional aspects of alpha oscillations in the EEG. Int J Psychophysiol, 2001; 39: 151–8.
 
9.
Bishop GH. The interpretation of cortical potentials. Cold Spring Harb Symp Quant Biol, 1936; 4: 305–19.
 
10.
Moruzzi G, Magoun HW. Brain stem reticular formation and activation of the EEG. Electroencephalogr Clin Neurophysiol, 1949; 1: 455–73.
 
11.
Prinz PN, Vitiell MV. Dominant occipital (alpha) rhythm frequency in early stage Alzheimer’s disease and depression. Electroencephalogr Clin Neurophysiol, 1989; 73: 427–32.
 
12.
Luckhaus C, Grass-Kapanke B, Blaeser I et al. Quantitative EEG in progressing vs. stable mild cognitive impairment (MCI): results of a 1-year follow-up study. Int J Geriatr Psychiatry, 2008; 23: 1148–55.
 
13.
Bjørk MH, Stovner LJ, Nilsen BM, Stjern M, Hagen K, Sand T. The occipital alpha rhythm related to the “migraine cycle” and headache burden: a blinded, controlled longitudinal study. Clin Neurophysiol, 2009; 120: 464–71.
 
14.
Mathewson KJ, Jetha MK, Drmic IE, Bryson SE, Goldberg JO, Schmidt LA. Regional EEG alpha power, coherence, and behavioral symptomatology in autism spectrum disorder. Clin. Neurophysiol, 2012; 123: 1798–809.
 
15.
Babiloni C, Stella G, Buffo P, Vecchio F, Onorati P, Muratori C et al. Cortical sources of resting state EEG rhythms are abnormal in dyslexic children. Clin Neurophysiol, 2012; 123: 2384–91.
 
16.
Cooper NR, Croft RJ, Dominey SJJ, Burgess AP, Gruzelier JH. Paradox lost? Exploring the role of alpha oscillations during externally vs. internally directed attention and the implications for idling and inhibition hypotheses. Int J Psychophysiol, 2003; 47: 65–74.
 
17.
Pfurtscheller G, Stancak Jr A, Neuper C. Event-related synchronization (ERS) in the alpha band – an electrophysiological correlate of cortical idling: a review. Int J Psychophysiol, 1996; 24: 39–46.
 
18.
Thut G. Alpha-band electroencephalographic activity over occipital cortex indexes visuospatial attention bias and predicts visual target detection. J Neurosci, 2006; 26: 9494–502.
 
19.
Klimesch W, Sauseng P, Hanslmayr S. EEG alpha oscillations: the inhibition–timing hypothesis. Brain Res Rev, 2007; 53: 63–88.
 
20.
Laufs H. A personalized history of EEG-fMRI integration. Neuroimage, 2012; 62: 1056–67.
 
21.
Goldman RI, Stern JM, Engel J, Cohen MS. Simultaneous EEG and fMRI of the alpha rhythm. Neuroreport. 2002; 13: 2487–92.
 
22.
Danos P, Guich S, Abel L, Buchsbaum MS. EEG alpha rhythm and glucose metabolic rate in the thalamus in schizophrenia. Neuropsychobiology, 2001; 43: 265–72.
 
23.
Laufs H, Kleinschmidt A, Beyerle A, Eger E, Salek-Haddadi A, Preibisch C et al. EEG-correlated fMRI of human alpha activity. Neuroimage, 2003; 19: 1463–76.
 
24.
Laufs H, Holt JL, Elfont R, Krams M, Paul JS, Krakow K et al. Where the BOLD signal goes when alpha EEG leaves. Neuroimage, 2006; 31: 1408–18.
 
25.
Moosmann M, Eichele T, Nordby H, Hugdahl K, Calhoun VD. Joint independent component analysis for simultaneous EEGfMRI: principle and simulation. Int J Psychophysiol, 2008; 67: 212–21.
 
26.
Feige B, Scheffler K, Esposito F, Salle FD, Hennig J, Seifritz E. Cortical and subcortical correlates of electroencephalographic alpha rhythm modulation. J Neurophysiol, 2005; 93: 2864–72.
 
27.
Gonçalves SI, de Munck JC, Pouwels PJ, Schoonhoven R, Kuijer JP, Maurits NM et al. Correlating the alpha rhythm to BOLD using simultaneous EEG/fMRI: inter-subject variability. Neuroimage, 2006; 30: 203–13.
 
28.
de Munck JC, Gonçalves SI, Huijboom L, Kuijer JP, Pouwels PJ, Heethaar RM et al. The hemodynamic response of the alpha rhythm: an EEG/fMRI study. Neuroimage, 2007; 35: 1142–51.
 
29.
Laufs H. Endogenous brain oscillations and related networks detected by surface EEG-combined fMRI. Hum Brain Mapp, 2008; 29: 762–9.
 
30.
Sadaghiani S, Scheeringa R, Lehongre K, Morillon B, Giraud A-L, Kleinschmidt A. Intrinsic connectivity networks, alpha oscillations, and tonic alertness: a simultaneous electroencephalography/functional magnetic resonance imaging study. J Neurosci, 2010; 30: 10243–50.
 
31.
Liu Z, de Zwart JA, Yao B, van Gelderen P, Kuo L-W, Duyn JH. Finding thalamic BOLD correlates to posterior alpha EEG. Neuroimage, 2012; 63: 1060–9.
 
32.
Chiang AKI, Rennie CJ, Robinson PA, van Albada SJ, Kerr CC. Age trends and sex differences of alpha rhythms including split alpha peaks. Clin Neurophysiol, 2011; 122: 1505–17.
 
33.
Allen PJ, Josephs O, Turner R. A Method for removing imaging artifact from continuous EEG recorded during functional MRI. Neuroimage, 2000; 12: 230–9.
 
34.
Rusiniak M, Lewandowska M, Wolak T, Pluta A, Milner R, Ganc M et al. A modified oddball paradigm for investigation of neural correlates of attention: a simultaneous ERP-fMRI study. Magn Reson Mater Phys Biol Med, 2013; 26: 511–26.
 
35.
Friston KJ, editor. Statistical parametric mapping: the analysis of funtional brain images. 1st ed. Amsterdam ; Boston: Elsevier/Academic Press; 2007.
 
36.
Glover GH. Deconvolution of impulse response in event-related BOLD fMRI. Neuroimage, 1999; 9: 416–29.
 
37.
Kristiansen K, Courtois G. Rhythmic electrical activity from isolated cerebral cortex. Electroencephalogr. Clin Neurophysiol, 1949; 1: 265–72.
 
38.
Yazawa S, Kawasaki S, Kanemaru A, Kuratsuwa Y, Yabuoshi R, Ohi T. Bilateral paramedian thalamo-midbrain infarction showing electroencephalographic alpha activity. Intern Med Tokyo Jpn, 2001; 40: 443–8.
 
39.
Bazanova OM, Vernon D. Interpreting EEG alpha activity. Neurosci Biobehav Rev, 2014; 44: 94–110.
 
40.
Ben-Simon E, Podlipsky I, Arieli A, Zhdanov A, Hendler T. Never resting brain: simultaneous representation of two alpha related processes in humans. PLoS One, 2008; 3: e3984.
 
41.
Zhan Z, Xu L, Zuo T, Xie D, Zhang J, Yao L et al. The contribution of different frequency bands of fMRI data to the correlation with EEG alpha rhythm. Brain Res, 2014; 1543: 235–43.
 
42.
Mo J, Liu Y, Huang H, Ding M. Coupling between visual alpha oscillations and default mode activity. Neuroimage, 2013; 68: 112–8.