Dyslexia Clinical Trial
Official title:
Speech and Short-term Memory Functions in Dyslexia: a Combined MEG and EEG Study
Developmental dyslexia is a highly heritable disorder in which reading skills are compromised despite normal intelligence and appropriate reading instruction. Reading problems in dyslexia are thought to primarily originate from weak speech sound representations or poor phonological skills. Dyslexia has also been associated with short-term or working memory dysfunctions. The current study will address the presence of these problems in dyslexic adults by the means of recording auditory and audio-visual mismatch negativity (MMN) and its magnetic counterpart (MMNm) to determine neural speech sound discrimination, representations and integration of seen and heard language. In addition to analyzing neural processing of syllables or (pseudo-)words, a new approach to MEG acquisition and analysis to characterize the neural responses during comprehension of complex real-life speech will be used. Furthermore, reading, phonological and cognitive skills of these participants will be determined with a neuropsychological test battery. The associations between the neural, neuropsychological and genetic measures will be studied. This project will illuminate the nature of neurocognitive dysfunctions in dyslexia and their relationship with genes.
1. Background
Developmental dyslexia is the most prevalent learning disorder impairing reading skill
even in individuals having normal intelligence and full availability of education (Lyon
et al., 2003). It is highly heritable, and several candidate genes contributing to
dyslexia have been identified (Scerri & Schulte-Körne, 2010). A wide range of deficits
have been associated with dyslexia, but according to the most prevalent theory its major
cause is impaired phonological processing (Ramus, 2001). The MMN, the generators of
which overlap with brain areas reported to have anatomical abnormalities in dyslexia,
has supported this notion. Diminished MMN amplitudes have systematically been reported
in dyslexics for certain speech and non-speech sound features (for a review Kujala &
Näätänen, 2001). These effects were even found in children and infants having an
inherited risk for dyslexia (Leppänen et al., 2002; Lovio et al., 2010). Furthermore, a
recent study in our group has shown that dyslexic children have problems in forming
memory traces for words (Kimppa et al., in prep.), whereas both the auditory system of
normal-reading adults (Shtyrov et al., 2010) and children (Kimppa et al., in prep.) was
shown to rapidly form representations for novel words.
It was recently suggested that phonological deficits in dyslexia can occur due to
impairments in different steps of sound processing. According to this theory, dyslexic
individuals can be divided into different subgroups. Ramus and colleagues (2013)
suggested that dyslexic individuals show an impairment in phonological representations
or at later processing stages as an impairment in phonological skills.
The current project will utilize combined electroencephalographic (EEG) and
magnetoencephalographic (MEG) recordings and neuropsychological and perceptual testing
in order to determine how impaired phonological neural representations vs. phonological
skills contribute to dyslexia. Defined as time-locked changes to external stimuli in EEG
and magnetoencephalogram MEG, event-related potentials (ERPs) and event-related fields
(ERFs), respectively, could provide an objective index of information processing in the
human brain. Both EEG and MEG methods offer a high temporal resolution. The benefit of
MEG is offered by a more exact localization of the activated neural sources due to a
diminished effect of distortions caused by the skull and tissue than in the process of
EEG source localization. It will complement and add more specific information to
dyslexia ERP research additional to the previous studies that were mostly conducted with
EEG. For a summary of dyslexia studies conducted with MEG, see the review from Salmelin
(2007).
Neural responses recorded with EEG and MEG have widely been used both in the service of
basic research and clinically-oriented research. During the recent years, a cortical
response called the mismatch negativity (MMN) has been in intensive use in investigating
auditory perception and its deficits. MMN is an ERP component elicited by any change in
some repetitive aspect of auditory stimulation, peaking at 100-200 ms from change onset
and detectable both electrically (MMN) and magnetically (MMNm). It was suggested that
MMN provides an index of the auditory sensory ("echoic") memory and automatic
(involuntary) change-detection. It also reflects native-language specific speech-sound
memory traces (Näätänen et al., 1997). MMN is elicited even when the subject is not
attending the auditory stimuli. Therefore, it has been popular in investigating a
variety of patient groups during the recent years (for reviews, see Näätänen et al.,
2007; Kujala et al., 2007).
In addition to the processing of syllables or (pseudo-)words, the neural activity during
comprehension of complex real-life speech by recording single-trial MEG will be
characterized. A model-free analysis method investigates inter-subject correlations
(ISC) between individuals with and without dyslexia. This approach will give insight
about auditory processing characteristics in a more natural condition. The method of ISC
has been proven viable in research during natural conditions, e.g. movie watching or
listening to music, mainly using functional magnetic resonance imaging (fMRI). It has
been introduced by Hasson and colleagues in 2004, who found that brain regions
synchronize between subjects during movie viewing. In MEG, this approach has only been
used scarcely (e.g. Lankinen et al., 2014; Suppanen, 2014; Thiede, 2014). However, it
confirms and complements the results from fMRI research. In language research, temporal
correlations that were investigated with the ISC method, have only been reported in
resting state networks in children with reading difficulties (Dimitriadis et al., 2013).
The results confirm findings from fMRI studies. Thus, the method offers new, promising
insights into the neural underpinnings of dyslexia.
Developmental dyslexia is a heritable disorder with polygenic origin. Several candidate
genes have been detected in the recent years (Kere, 2014 for a review), associated with
functions of neuronal migration and auditory processing. However, the connection between
the auditory responses of the brain and the genetic cause of the disorder has not been
confirmed yet. More research on the connections between the genetic and neural markers
of dyslexia is needed in order to verify different existing hypotheses.
Previous activity
Research in the experimenters group has shown that at group level, cortical low-level
discrimination of sounds and speech sounds is impaired in dyslexia (Kujala, 2007 for a
review). This was reflected in diminished MMN responses (e.g., Kujala et al., 2006;
Schulte-Körne et al., 1998; Neuhoff et al., 2012) and in enhancements of MMNs as a
result of dyslexia intervention (Kujala et al., 2001; Lovio et al., 2012). These results
suggest a strong connection between this neural response and dyslexia. Furthermore, the
investigators' results suggest weak associations between the neural representations of
speech sounds and written letters in the brains of dyslexics (Mittag et al., 2013),
which could reflect deficits in phonological skills in dyslexia. Furthermore, studies
carried out in the current research group have lead to the identification of candidate
genes of dyslexia (e.g. Hannula-Jouppi et al., 2005; Schumacher et al., 2006). In a
recent review, nine genes and four gene loci have been listed in a summary of genetic
loci associated with developmental dyslexia (Kere, 2014). Some candidate genes were
shown to be linked with axonal connections and others with neuronal migration functions.
2. Objectives and methods
This study aims at determining neurocognitive underpinnings of dyslexia and their connection
with genes. The target neural processes impaired in different subgroups of dyslexic
individuals involve phonological representations vs. phonological skills. Phonological
representations are reflected in the low-level discrimination of speech sounds, whereas
phonological skills can be mirrored in audiovisual integration of written and spoken letters.
With neuropsychological tests, it will be determined which participants have primarily weak
speech representations or poor phonological skills. It is hypothesized that participants with
weak phonological representations have diminished MMN/MMNm responses. However, participants
who do not have these problems, but instead have poor phonological skills, are expected to
have normal-like MMN/MMNm responses but deficient responses reflecting audiovisual
integration, such as no difference in effects of printed text versus nonsense visual material
on early auditory speech discrimination. These two types of dyslexic groups are hypothesized
to have alterations in partly different dyslexia candidate genes.
Auditory processing in the brain under more complex, real-world conditions will be
investigated using single-trial MEG during presentation of natural speech sounds. It is
expected that the synchronized brain activity differs between the dyslexic and control group.
Specifically, it is expected that dyslexic subjects show decreased synchrony in the left
temporoparietal cortex (Temple, 2002). Single-trial data could furthermore show a connection
to genes, as suggested by Giraud and Ramus (2013), who hypothesized that a disruption of
auditory cortical oscillations modifies the access to phonological representations.
Dyslexia is known to be associated with several candidate genes (for a review, see Kere,
2014). The candidate genes are associated with language skills and with the brain's ERPs. The
gene research in cooperation with Prof. Juha Kere's laboratory in Folkhälsan research centre
in Biomedicum, Helsinki or Karolinska Institutet, Stockholm, will aim at proofing the
connection between dyslexia candidate genes and neural event-related activity of the brain to
pseudoword stimuli.
Stimuli and procedure
MMN and MMNm responses to sound changes in pseudoword /tata/ (vowel, vowel duration, and
syllable frequency changes) will be recorded while participants attend a movie or see
concurrent visually-presented pseudoword stimuli. During the auditory condition, subjects
will watch a silenced movie while being presented frequent "standard" stimuli, namely a
pseudoword (/tata/) and infrequent "deviant" (see below) auditory stimuli. The task is to
attend the movie and to ignore the background sounds. The audiovisual condition includes the
same pseudoword stimuli, but instead of watching a movie, subjects will see the written
letters of the presented pseudoword or a scrambled picture of the pseudoword letters.
Distractors, such as counting deviant stimuli or different shapes and colours of the visual
stimulus, will be given as the main task to the participants. They will be instructed to
ignore the sounds.
The pseudoword stimuli are as follows:
- standard: /tata/
- vowel deviant: /tato/
- frequency deviant - higher frequency in the 2nd syllable
- duration deviant: /tataa/ - 2nd syllable twice as long as in the standard
The stimuli will be presented in a combined multi-feature and oddball design (Näätänen et
al., 2004). All deviant types will be presented in the same sequence with 1-4 standards
between each successive 2 deviants.
In addition to recording MMNm responses, a single-trial, continuous recording of brain
activity for a real-world stimulus will be recorded. Approximately 8 min of natural speech
(Finnish speaker) will be presented to both groups with the task of mere listening and
keeping the eyes open. A recording of 8 min during rest with eyes open will complete the
addition.
In order to examine differences in general cognitive abilities and performance profile
between groups, the participants will undergo behavioural tests. Dyslexia characteristics
will be assessed with parts of the Nevala dyslexia test (Nevala et al., 2006). General and
performance Intelligence Quotient (IQ) as well as phonological and working memory will be
tested using the Wechsler Intelligence Scale (WAIS-III; Wechsler, 1997a) and subtests of
Wechsler Memory Scale (WMS-III; Wechsler, 1997b). Phonological naming will be assessed with
the rapid alternate stimulus naming (RAS) test for speed and accuracy (Wolf, 1986). These or
corresponding neuropsychological tests will be executed in max. 2 hours in an independent
test session from the MEG session.
Additionally, saliva or blood samples (2x9 ml blood) will be collected by a trained nurse
after subject's approval. DNA will be extracted from these samples and stored in Folkhälsan
research centre in Juha Kere's laboratory. The DNA analysis focuses on any related candidate
genes in their different variants using DNA sequencing techniques to determine the genotypes
(Taqman, Sequenom). Possible links between the electric and magnetic activity of the brain
and candidate genes for dyslexia are searched for.
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