Cracking the neural code for word recognition in convolutional neural networks.

Learning to read places a strong challenge on the visual system. Years of expertise lead to a remarkable capacity to separate similar letters and encode their relative positions, thus distinguishing words such as FORM and FROM, invariantly over a large range of positions, sizes and fonts. How neural circuits achieve invariant word recognition remains unknown. Here, we address this issue by recycling deep neural network models initially trained for image recognition. We retrain them to recognize written words and then analyze how reading-specialized units emerge and operate across the successive layers. With literacy, a small subset of units becomes specialized for word recognition in the learned script, similar to the visual word form area (VWFA) in the human brain. We show that these units are sensitive to specific letter identities and their ordinal position from the left or the right of a word. The transition from retinotopic to ordinal position coding is achieved by a hierarchy of "space bigram" unit that detect the position of a letter relative to a blank space and that pool across low- and high-frequency-sensitive units from early layers of the network. The proposed scheme provides a plausible neural code for written words in the VWFA, and leads to predictions for reading behavior, error patterns, and the neurophysiology of reading.

NSP-SCD: A corpus construction protocol for child-directed print in understudied languages.

Child-directed print corpora enable systematic psycholinguistic investigations, but this research infrastructure is not available in many understudied languages. Moreover, researchers of understudied languages are dependent on manual tagging because precise automatized parsers are not yet available. One plausible way forward is to limit the intensive work to a small-sized corpus. However, with little systematic enquiry about approaches to corpus construction, it is unclear how robust a small corpus can be made. The current study examines the potential of a non-sequential sampling protocol for small corpus development (NSP-SCD) through a cross-corpora and within-corpus analysis. A corpus comprising 17,584 words was developed by applying the protocol to a larger corpus of 150,595 words from children's books for 3-to-10-year-olds. While the larger corpus will by definition have more instances of unique words and unique orthographic units, still, the selectively sampled small corpus approximated the larger corpus for lexical and orthographic diversity and was equivalent for orthographic representation and word length. Psycholinguistic complexity increased by book level and varied by parts of speech. Finally, in a robustness check of lexical diversity, the non-sequentially sampled small corpus was more efficient compared to a same-sized corpus constructed by simply using all sentences from a few books (402 books vs. seven books). If a small corpus must be used then non-sequential sampling from books stratified by book level makes the corpus statistics better approximate what is found in larger corpora. Overall, the protocol shows promise as a tool to advance the science of child language acquisition in understudied languages.

Looking beyond the brain: Insights into vascular parkinsonism with optical coherence tomography.

BACKGROUND: Vascular Parkinsonism (VP) is characterized by rigidity and bradykinesia predominantly affecting the lower limbs. Optical Coherence tomography (OCT) facilitates the visualization of retina and choroid and may help in delineating differential involvement of retina and choroid in patients with VP. In this study, we report the pattern of changes in the retinal and choroidal layers in patients with VP with the help of spectral domain OCT (SD-OCT). METHODS: We adopted a case-control design and evaluated 24 patients with VP with complete history, clinical examination, Montreal Cognitive Assessment (MOCA), Unified Parkinson's Disease Rating Scale (UPDRS) motor part in OFF state, and retinal and choroidal imaging with SD-OCT. The peripapillary retinal nerve fiber layer (RNFL) thickness, peripapillary choroidal layer thickness (PPChT), central macular thickness (CMT) and subfoveal choroid thickness (SFChT) were assessed. Twenty-two age and gender-matched healthy control subjects were also recruited. RESULTS: The peripapillary RNFL, in most of the segments and CMT were significantly thinner in patients with VP compared to controls. The subfoveal and peripapillary ChT did not differ significantly between patients and controls. CONCLUSION: This is the first study that has evaluated the role of OCT in patients with VP and these patients have significant involvement of the retina. In addition to providing pathophysiological insights, OCT parameters may serve as disease biomarkers in VP. This study lays the foundation for carrying out future studies with larger sample sizes and a longitudinal design.

Cortical excitability changes in patients of vascular parkinsonism with cognitive impairment.

INTRODUCTION: Vascular parkinsonism (VaP), type of lower body parkinsonism, occurs in relation to ischemic cerebrovascular disease. It can be associated with cognitive impairment. We aimed to study the cortical excitability changes in these patients using transcranial magnetic stimulation (TMS). METHODS: We included 20 patients with VaP and 22 healthy controls (HC). All subjects underwent TMS over left motor cortex with recording of resting motor threshold (RMT), central motor conduction time (CMCT), short-interval intracortical inhibition (SICI), intracortical facilitation (ICF), contralateral and ipsilateral silent period (SP) along with RMT and CMCT in the contralateral lower limb. Cognitive assessments were done using Montreal cognitive assessment (MoCA) and Addenbrooke's cognitive evaluation III (ACE III). RESULTS: Mean age of patients (63.90 ± 7.36 years) was comparable with controls (59.77 ± 6.94 years; p = 0.07). Duration of disease was 2.58 ± 2.57 years. The upper and lower limb RMT of patients (32.45 ± 4.81%; 57.20 ± 11.54%) was significantly low compared to HC (43.64 ± 7.73%; 69.18 ± 14.27%; p < 0.001). There was a significant reduction in SICI in patients (1.87 ± 2.03) compared to HC (0.38 ± 0.29; p < 0.001). In addition, there was a significant prolongation of ipsilateral SP in patients (48.49 ± 24.49) compared to controls (32.04 ± 12.26, p = 0.01). However, there was no significant difference in contralateral SP (p = 0.66) and ICF (p = 0.25) between the two groups. There was a significant prolongation of lower limb CMCT in patients (p < 0.01). There was a positive correlation of SICI with MoCA (r = 0.45, p < 0.05) and ACE-III (r = 0.33, p < 0.05) scores. CONCLUSION: Reduction in RMT and SICI in patients with VaP suggests abnormalities in GABAergic neurotransmission that may underlie cognitive impairment observed in them.

Does the visual word form area split in bilingual readers? A millimeter-scale 7-T fMRI study.

In expert readers, a brain region known as the visual word form area (VWFA) is highly sensitive to written words, exhibiting a posterior-to-anterior gradient of increasing sensitivity to orthographic stimuli whose statistics match those of real words. Using high-resolution 7-tesla functional magnetic resonance imaging (fMRI), we ask whether, in bilingual readers, distinct cortical patches specialize for different languages. In 21 English-French bilinguals, unsmoothed 1.2-millimeters fMRI revealed that the VWFA is actually composed of several small cortical patches highly selective for reading, with a posterior-to-anterior word-similarity gradient, but with near-complete overlap between the two languages. In 10 English-Chinese bilinguals, however, while most word-specific patches exhibited similar reading specificity and word-similarity gradients for reading in Chinese and English, additional patches responded specifically to Chinese writing and, unexpectedly, to faces. Our results show that the acquisition of multiple writing systems can indeed tune the visual cortex differently in bilinguals, sometimes leading to the emergence of cortical patches specialized for a single language.

Letter processing in upright bigrams predicts reading fluency variations in children.

Fluent reading is an important milestone in education, but we lack a clear understanding of why children vary so widely in attaining it. Language-related factors such as rapid automatized naming (RAN) and phonological awareness have been identified as important factors that explain reading fluency. However, whether any aspects of visual orthographic processing also explain reading fluency beyond phonology is unclear. To investigate these issues, we tested primary school children (n = 68) on four tasks: two reading fluency tasks (word reading and passage reading), a RAN task to measure naming speed, and a visual search task using letters and bigrams. Bigram processing in visual search was accurately explained by single-letter discrimination, and error patterns were unrelated to fluency or bigram frequency, ruling out the contribution of specialized bigram detectors. As expected, the RAN score was strongly correlated with reading fluency. Importantly, there was a highly specific association between reading fluency and upright bigram processing in visual search. This association was specific to upright but not inverted bigrams and to bigrams with normal but not large letter spacing. It was explained by increased letter discrimination across bigrams and reduced interactions between letters within bigrams. Thus, fluent reading is accompanied by specialized changes in letter processing within bigrams. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Effect of Lumbar Drainage on Cortical Excitability in Normal Pressure Hydrocephalus.

BACKGROUND: Idiopathic normal pressure hydrocephalus (iNPH) is characterized by the clinical triad of gait disturbance, urinary incontinence, and memory impairment with normal cerebrospinal fluid (CSF) pressure. Transcranial magnetic stimulation (TMS) has been used to assess the corticospinal motor pathways in patients with iNPH with conflicting results. METHODS: Our study included 11 patients with iNPH and 13 healthy controls. All the subjects underwent TMS and resting motor threshold (RMT), central motor conduction time (CMCT), short-interval intracortical inhibition (SICI), intracortical facilitation, and silent period (SP) were recorded in the upper limb. Besides, RMT and CMCT in lower limb were also recorded. Cognitive assessments were done using mini-mental status examination, Montreal cognitive assessment (MoCA), and Addenbrooke's cognitive evaluation III (ACE III). Same parameters were recorded 24 h of CSF (lumbar puncture, LP) drainage. RESULTS: Mean age of the iNPH patients was 69.00 ± 6.71 years with age at onset being 66.64 ± 7.10 years. Duration of disease was 1.80 ± 1.25 years. A significant difference was noted in CMCT for the lower limb (CMCT-LL), SICI, and ipsilateral SP between pre-LP NPH and controls. Also, there was a significant difference in MoCA and ACE III between pre-LP NPH and controls. A significant reduction was observed in lower limb RMT between pre- and post-LP NPH patients. Post LP, there was a reduction in the lower limb CMCT and improvement in SICI. CONCLUSION: A significant prolongation of CMCT-LL was observed in NPH patients. Lumbar CSF drainage in them resulted in a significant reduction in lower limb RMT thereby suggesting an increase in cortical excitability.

A compositional neural code in high-level visual cortex can explain jumbled word reading.

We read jubmled wrods effortlessly, but the neural correlates of this remarkable ability remain poorly understood. We hypothesized that viewing a jumbled word activates a visual representation that is compared to known words. To test this hypothesis, we devised a purely visual model in which neurons tuned to letter shape respond to longer strings in a compositional manner by linearly summing letter responses. We found that dissimilarities between letter strings in this model can explain human performance on visual search, and responses to jumbled words in word reading tasks. Brain imaging revealed that viewing a string activates this letter-based code in the lateral occipital (LO) region and that subsequent comparisons to stored words are consistent with activations of the visual word form area (VWFA). Thus, a compositional neural code potentially contributes to efficient reading.

"Aoccdrnig to a rseearch at Cmabridge Uinervtisy, it deos not mttaer in what oredr the ltteers in a wrod are, the olny iprmoatnt tihng is taht the frist and lsat ltteer be in the rghit pclae." The above text is an example of the so-called "Cambridge University effect", a meme that often circulates on the Internet. While the statement has several caveats, people do seem able to read jumbled words ­ at least short ones ­ with remarkable ease. But how is this possible? Answering this question has proven difficult because reading involves many different processes. These include analyzing the visual appearance of a word as well as recalling its pronunciation and meaning. To find out why people are so good at reading jumbled words, Agrawal et al. tested healthy volunteers on a word recognition task. The volunteers viewed strings of letters and had to decide whether each was a word or a non-word. The more closely a jumbled non-word resembled a real word, the longer the volunteers took to categorize it. PENICL took longer than EPNCIL, for example. Words in which some of the original letters had been replaced were easier to categorize than words in which letters had only been swapped. And, as shown by the 'Cambridge University effect', swapping the first and last letters had a greater effect than swapping the middle ones. Agrawal et al. proposed that this is because when people view a string of letters, visual areas of the brain become active in a pattern representing those letters. The brain then compares this pattern to stored representations of known words. To test this idea, Agrawal et al. developed a computer model consisting of a group of artificial neurons. Each neuron responded more to some letters than others, and the response of the model to a word could be obtained by adding together its responses to all of the letters. This model, based only on processing information using sight, predicted how long volunteers took to process jumbled words. This finding in turn suggests that sound, pronunciation or meaning of the word do not contribute as much to jumbled word reading as previously believed. Finally, the volunteers performed the same task inside a brain scanner. This revealed the brain regions responsible for processing letter strings and for comparing them to stored words. By identifying the brain circuitry that supports reading ­ of both intact and jumbled words ­ these findings could ultimately prove useful in diagnosing and treating reading disorders.

Reading Increases the Compositionality of Visual Word Representations.

Reading causes widespread changes in the brain, but its effect on visual word representations is unknown. Learning to read may facilitate visual processing by forming specialized detectors for longer strings or by making word responses more predictable from single letters-that is, by increasing compositionality. We provided evidence for the latter hypothesis using experiments that compared nonoverlapping groups of readers of two Indian languages (Telugu and Malayalam). Readers showed increased single-letter discrimination and decreased letter interactions for bigrams during visual search. Importantly, these interactions predicted subjects' overall reading fluency. In a separate brain-imaging experiment, we observed increased compositionality in readers, whereby responses to bigrams were more predictable from single letters. This effect was specific to the anterior lateral occipital region, where activations best matched behavior. Thus, learning to read facilitates visual processing by increasing the compositionality of visual word representations.

MOG antibody seropositive aseptic meningitis: A new clinical phenotype.

The spectrum of myelin oligodendrocyte glycoprotein antibody (MOG-Ab) associated demyelination is evolving. Our case report describes a unique clinical presentation of aseptic meningitis with demyelinating lesions of the brain resembling acute disseminated encephalomyelitis and MOG-Ab seropositivity. A 22-year-old lady presented with history of fever of one week duration followed by headache, vomiting and neck stiffness. She had bilateral papilledema and signs of meningeal irritation. Neuroimaging revealed T2 and FLAIR hyperintense lesions in the right caudate, temporal lobe and left insula with enhancement on gadolinium contrast along with leptomeningeal enhancement. An extensive search for infectious and inflammatory etiology was negative while serum was positive for MOG-Abs tested twice at an interval of 12 days. She showed remarkable clinical-radiological resolution with steroids and has remained symptom free on follow up.

RAACFDb: Rheumatoid arthritis ayurvedic classical formulations database.

ETHNOPHARMACOLOGICAL RELEVANCE: In the past years, the treatment of rheumatoid arthritis (RA) has undergone remarkable changes in all therapeutic modes. The present newfangled care in clinical research is to determine and to pick a new track for better treatment options for RA. Recent ethnopharmacological investigations revealed that traditional herbal remedies are the most preferred modality of complementary and alternative medicine (CAM). However, several ayurvedic modes of treatments and formulations for RA are not much studied and documented from Indian traditional system of medicine. Therefore, this directed us to develop an integrated database, RAACFDb (acronym: Rheumatoid Arthritis Ayurvedic Classical Formulations Database) by consolidating data from the repository of Vedic Samhita - The Ayurveda to retrieve the available formulations information easily. MATERIALS AND METHODS: Literature data was gathered using several search engines and from ayurvedic practitioners for loading information in the database. In order to represent the collected information about classical ayurvedic formulations, an integrated database is constructed and implemented on a MySQL and PHP back-end. RESULTS: The database is supported by describing all the ayurvedic classical formulations for the treatment rheumatoid arthritis. It includes composition, usage, plant parts used, active ingredients present in the composition and their structures. CONCLUSION: The prime objective is to locate ayurvedic formulations proven to be quite successful and highly effective among the patients with reduced side effects. The database (freely available at www.beta.vit.ac.in/raacfdb/index.html) hopefully enables easy access for clinical researchers and students to discover novel leads with reduced side effects.