Synergetic fMRI-EEG Brain Mapping in Alpha-Rhythm Voluntary Control Mode

Abstract

For the first time in neurobiology-related issues, the synergistic spatial dynamics of EEG and fMRI (BOLD phenomenon) was studied during cognitive alpha biofeedback training in the operant conditioning mode (acoustic reinforcement of alpha-rhythm development and stability). Significant changes in alpha-rhythm intensity were found in T6 electrode area (Brodmann area 37). Brodmann areas related to solving alpha-training tasks and maximally involved in the formation of new neuronal network were middle and superior temporal gyri (areas 21, 22, and 37), fusiform gyrus, inferior frontal gyrus (areas 4, 6, and 46), anterior cingulate gyrus (areas 23 and 24), cuneus, and precuneus (area 7). Wide involvement of Brodmann areas is determined by psychological architecture of alpha-rhythm generating system control that includes complex cognitive activities: decision making, retrieval of long-term memory, evaluation of the reward and control efficiency during alpha-EEG biofeedback.

Abnormal Spontaneous Neural Activity of the Central Auditory System Changes the Functional Connectivity in the Tinnitus Brain: A Resting-State Functional MRI Study

“…Functional brain regions such as motor cortices (Biswal et al, 1995), visual cortices (Kiviniemi et al, 2004), auditory cortices (Cordes et al, 2001), and default mode network (Fox et al, 2005) that have been identified using stimulus-or taskevoked paradigms can also be identified in the resting state by examining low-frequency (0.01-0.08 Hz) fluctuations (LFFs) of the resting-state blood oxygen level dependent (BOLD) signal. These results imply that the LFFs infer neuronal activation indirectly through neurovascular coupling (Lu et al, 2007;Mantini et al, 2007;Shmuel and Leopold, 2008;Rusiniak et al, 2015;Shtark et al, 2015). These networks generally show reliable and consistent patterns of functional connectivity (FC) (Zhang et al, 2008), which is defined as the quantification of the operational interactions of multiple spatially distinct brain regions that are highly synchronous (Rogers et al, 2007).…”

How to Build a Hybrid Neurofeedback Platform Combining EEG and fMRI

“…Combining the strongest aspects of each modality can potentially provide a better estimate than any of them separately. The majority of the existing bimodal EEG-fMRI studies estimate the real-time NFB only from one modality (usually EEG) while still using both modality measurements for offline analysis (Kinreich et al, 2012; Ros et al, 2013; Meir-Hasson et al, 2014; Shtark et al, 2015; Zich et al, 2015; Keynan et al, 2016; Zotev et al, 2016). The only study that estimates bimodal NFB in real-time is reported by Zotev et al (2014).…”

Abnormal spontaneous neural activity of auditory cortex and auditory pathway in tinnitus: a resting-state fMRI study

“…The mechanism of the amplitude of low-frequency fluctuation (ALFF) of the rs-fMRI signal has been demonstrated by several studies, using comparison with epidural electroencephalography (EEG) (Lu et al, 2007;Mantini et al, 2007;Shmuel and Leopold, 2008;Shtark et al, 2015). At the level of neural ensembles, a synchronized activity of large numbers of neurons can lead to macroscopic oscillations, which can be observed through EEG and correlated with values of mALFF.…”

“…rs-fMRI was developed to provide a new method for evaluation of regional neural spontaneous activity level in low frequency (0.01-0.08 Hz) fluctuation (ALFF) of the BOLD signal change (Biswal et al, 1995;Kiviniemi et al, 2000;Zang et al, 2007). Combining electroneurophysiological recordings and fMRI, many studies have suggested that the LFFs of BOLD fMRI signals are closely related to spontaneous neuronal activities (Lu et al, 2007;Mantini et al, 2007;Shmuel and Leopold, 2008;Rusiniak et al, 2015;Shtark et al, 2015).…”