Sunita Gudwani1,2, S.Senthil Kumaran3, Rajesh Sagar4, Madhuri Behari5, Manju Mehta6, Vaishna Narang7, SN Dwivedi8, and NR Jagannathan3
1Department of ENT, Escorts Heart Institute and Research Center, New Delhi, India, 2Former Department of NMR and MRI Facility, Former ALL INSTITUTE OF MEDICAL SCIENCES, NEW DELHI, India, 3Department of NMR and MRI Facility, All India Institute of Medical Sciences, New Delhi, India, 4Department of Psychiatry, All India Institute of Medical Sciences, New Delhi, India, 5Department of Neurology, Fortis Hospital, New Delhi, India, 6Department of Psychiatry (Psychology Unit), All India Institute of Medical Sciences, New Delhi, India, 7Department of Linguistics, School of Language, Jawahar Lal Nehru University, New Delhi, India, 8Department of Biostatistics, All India Institute of Medical Sciences, New Delhi, India
Synopsis
Reading a cultural invention by human species is complex cognitive skill.
The ventral regions contribute as integrating bottom-up (feed-forward) generic
visual processing with top-down influences from phonological and semantic areas.
Developmental dyslexia a neurodevelopmental disorder, despite its description since century ago is yet unclear. The heterogeneous
deficits, persists and may have emotional-socio-economic consequences. The
study shows that if domain specific remediation, tailored according to
subject’s neurobiological positive and negative signs along with behavioral
measures, it benefits the individuals. Post-training improvement in behavioral
performance and reorganizations in neural processing towards normalization,
rather than compensatory regions attributed to optimal outcome
Introduction
Reading
is an everyday activity important for integrating into the modern society and developmental
Dyslexia (DD) is a neuro-developmental disorder with deficits of visual
attention, visuo-spatial working memory, executive functions, grapheme-phoneme
mapping, auditory-verbal decoding, lexico-semantic, syntactic, comprehension
processing, etc [1]. Reading involves complex process and dyslexia comprised of
heterogeneous group with similar signs but individual variations [2, 3], making
remediation difficult for these deficits. So the intervention needs to be
individualized and tailored [4]. If the management is planned based on
neurobiological model [5] with task-Functional MRI (fMRI) it may support client-customization
for optimized outcomeMethods
The study
design was Cross-control interventional. After IEC approval and informed
written consent by the parents, children were recruited for pre-therapy
assessments. Inclusion criteria for children were: right handedness, children
diagnosed with developmental dyslexia (DD), and given written consent.
Exclusion criteria were left handedness, any sensory impairment (hearing/
vision), neurological or psychiatric problems, and any contraindication for
MRI. The fMRI or Blood oxygen level dependent (BOLD) data was acquired with
clinical 3T whole body MR scanner with 32 channel head coil (Achieva 3.0T TX,
Philips, Netherlands). Single-shot echo planar imaging (EPI) sequence was used
with slice thickness 5 mm, number of slices = 31, TR: 2000 ms, TE: 30 ms, flip
angle = 90, and FOV = 230 mm. Paradigms for task-based FMRI were (i)
visual-perception, (ii) visuospatial working memory, (iii) phonology
(word-pseudoword), (iv) lexico-semantic (nouns), and (v) syntax (sentences). Therapy for 12 DD subjects was
tailored as Roger’s client-centered approach [6] by prioritizing domain
predominantly affected in the individual subject, based on the BOLD (fMRI)
hypoactive areas and tapping potential operating areas. fMRI and clinical
performance of DD subject compared with age-gender-matched healthy controls
(HC) and literature. Neurorehabilitation sessions were planned thrice a week
for initial three months and twice a week for next three months. Post-training
outcome with fMRI and clinical performance was investigated after eight months (that
is after two-months of completing rehabilitation)Results
The performance on clinical tests was mismatch/ nonconclusive with poor visuo-spatial 1-back fMRI processing and below average performance on
arithmetic, digit-span scores (auditory symbolic working memory and manipulation),
and very slow copying rate. Good auditory-comprehension, spared performance on
visuo-spatial perception, visual discrimination, and conserved visuo-spatial
1-back hit performance score, pictorial visual memory with poor performance on
digit span, arithmetic subtests, auditory memory at sentence level and copying
rate (Table 1). The elusive performance when corroborated with the fMRI session showed compensatory visuo-spatial 1-back processing recruiting
broad and diffused cortical areas (Figure 1(i)). Localized BOLD activity was
observed for visual perception and phonological processing. Suggesting poor working memory processing neurobiologically. Thus the intervention was initiated with visuo-spatial scratch-pad interface of phonological-loop (Baddeley Model, 2010) . BOLD activitation
for visuo-spatial working memory (1-back) at follow-up was localized to
bilateral parietal precuneus, inferior occipital, and superior frontal gyri
with right hemispheric dominance. The activity was also observed in left
superior temporal and right middle temporal gyri (Figure 1 (ii)). BOLD
activation during visual perception (picture completion) was similar at
baseline and follow-up sessions confining to bilateral occipital,
temporo-parietal and superior frontal areas. Post-remediation the behavioral
performance were improved on pattern discrimination, reading comprehension, reading
rate, reading errors, spelling errors and writing flow (rate).Discussion
The
neurobiological basis help to target the contents of therapy accurately, as
only behavioral change might be due to compensatory formation and may improve
performance to some extent, but not optimally [7]. Since working memory has
dual task holding information and processing execution [8], the improvement generalized
to other domains also (holistic academic performance) [9, 10]. Thus the
hypothesis of present study evidenced that the therapeutic management when
tailored to individualistic basis, reorganizes the neural functions [11]Conclusion
The results document that working memory/cognitive flexibility benefit provided
building block for auditory perception, better reading, writing flow, comprehension
and scaffolding effect in academic performance. Customizing intervention based
on neurobiological model facilitates optimal recovery in developmental dyslexiaAcknowledgements
No acknowledgement found.References
[1]
Ring J, Black
JL. The multiple deficit model of dyslexia: what does it mean for
identification and intervention? Ann Dyslexia. 2018;68(2):104-125.
[2] Norton ES, Beach SD, Gabrieli JDE, 2015. Neurobiology of
dyslexia. Current Opinion in Neurobiology SI: Neuropsychiatry (30); 73–78.
[3] Peterson RL, Pennington BF, 2012. Developmental dyslexia. Lancet, 379:
1997–2007.
[4] Law C, Cupples L. Thinking outside the boxes: Using
current reading models to assess and treat developmental surface dyslexia. Neuropsychol
Rehabil. 2017;27(2):149-195.
[5] Aboud KS, Barquero LA, Cutting LE. Prefrontal mediation
of the reading network predicts intervention response in dyslexia. Cortex. 2018
Apr;101:96-106.
[6] Rogers CR, 1951; 2003. Client-centered therapy: its current
practice, implications and theory. Ltd: Houghton Mifflin, Boston. New Edition:
Contable & Robinson, 2003
[7] Ylinen S, Kujala T, 2015. Neuroscience illuminating the
influence of auditory or phonological intervention on language-related
deficits. Frontiers in Psychology Cognitive Science, 6; Article 137; 1-9.
[8] Martini M, Furtner MR, Maran T, Sachse P, 2015.
Information maintenance in working memory: an integrated presentation of
cognitive and neural concepts. Front. Syst. Neurosci., 9; 104. doi:
10.3389/fnsys.2015.00104
[9] Wang S, Allen RJ, Lee JR, Hsieh CE, 2015. Evaluating the
developmental trajectory of the episodic buffer component of working memory and
its relation to word recognition in children. J Exp Child Psychol., 133; 16-28.
doi: 10.1016/j.jecp.2015.01.002
[10] Rotzer S, Loenneker T, Kucian K, Martin E, Klaver P,
von Aster M, 2009. Dysfunctional neural network of spatial working memory
contributes to developmental dyscalculia. Neuropsychologia, 47(13); 2859-2865
[11] Horowitz-Kraus T, DiFrancesco M, Kay B, Wang Y, Holland
SK, 2015. Increased resting-state functional connectivity of visual- and
cognitive-control brain networks after training in children with reading
difficulties. Neuroimage Clin., 8; 619-630
[12] Baddeley A, 2010. Working memory. Current
Biology, 20 (4); R136