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Journal of Neurological Disorders and Stroke

Interhemispheric Transfer of Tactile Information in Individuals with Down’s syndrome

Research Article | Open Access | Volume 12 | Issue 1

  • 1. Department of Medicine and Surgery, University of Perugia, Italy
  • 2. Neurologist, Perugia, Italy
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Corresponding Authors
Massimo Piccirilli, Department of Medicine and Surgery, University of Perugia, Piazzale S. Gambuli 1, 06129 Perugia, Tel: 39-3497593817; Italy
Abstract

Introduction: A dysfunction of the process that leads to maturation of corpus callosum can determine an anomalous interhemispheric interaction and so justify the appearance of cognitive disorders. The present study attempted to investigate the possible relationship between the function of the corpus callosum and intellectual disability in subjects with Down’s Syndrome.

Materials and methods: Four groups of subjects were examined: eleven individuals with Down’s Syndrome, eleven individuals with intellectual disability not due to genetic abnormality, thirteen healthy individuals matched on the basis of chronological age, and thirteen healthy individuals matched on the basis of the degree of intellectual level. A fingertip cross-localization task has been used to measure the efficiency of the interhemispheric transfer of information: since transferring tactile information from one hemisphere to the other implies a significant loss of accuracy, the degree of difference between the uni-hemispheric and bi-hemispheric conditions of the finger localization task is considered an adequate measure of the functional efficiency of the transfer processes trough the corpus callosum.

Results: Subjects with Down’s syndrome show a significantly lower performance than all other participants: their loss of accuracy corresponds to 42.9%, whereas in healthy adult controls, it is 3.7%, in healthy children, it is 17.8% and in individuals with intellectual disability not due to genetic abnormalities, it is 33.3%.

Conclusion: Individuals with Down’s syndrome present a severe deficit of interhemispheric communication. The possibility is discussed that this disconnection syndrome may play a role in the genesis of cognitive disorders and intellectual disabilities.

KEYWORDS
  • Corpus callosum
  • Interhemispheric transfer
  • Intellectual disability
  • Down’s syndrome
CITATION

Piccirilli M, D’Alessandro P (2025) Interhemispheric Transfer of Tactile Information in Individuals with Down’s syndrome. J Neurol Disord Stroke 12(1): 1233.

INTRODUCTION

The role of the corpus callosum (CC) in determining cerebral lateralization and cognitive development has long been clearly established [1-3]. Its approximately 200 million fibers allow the exchange of information between the two cerebral hemispheres and their coordination and functional integration [4-6]. Since its anatomical and functional development occurs slowly and progressively over the first few years of life, a progressive improvement in the efficiency of interhemispheric information transfer and the consequent appearance of new cognitive and behavioral acquisitions can be observed during developmental age [7-9]. The length and complexity of this process can expose the CC to numerous pathological events and cause the alteration of the full maturation of the interhemispheric communication mechanisms which in turn can justify the onset of cognitive-behavioral disorders [10-12]. Extensive studies have identified abnormalities in the shape and volume of the CC in individuals with Down’s syndrome (DS), the most common of the chromosomal conditions associated with intellectual disability [13-16]. In the present study, an attempt was made to assess the functional efficiency of CC in subjects with DS.

For this purpose, we used the fingertip cross-localization test, a task involving tactile information transfer, in which subjects have to respond to a tactile stimulus presented to one hand using either the ipsilateral or contralateral hand [17,18]. Indeed, in the assessment of CC functions, it is essential tousetestswhosecorrect performance necessarily depends on the interhemispheric transfer of information. Therefore, the experimental design must include four conditions: (a) the right hemisphere both receiving the stimulus and responding (the right hemisphere uncrossed condition); (b) the left hemisphere both receiving the stimulus and responding (the left hemisphere uncrossed condition); (c) the right hemisphere receiving the stimulus and the left hemisphere responding (the right hemisphere crossed condition); (d) the left hemisphere receiving the stimulus and the right hemisphere responding (the left hemisphere crossed condition). The crossed conditions (c and d) require interhemispheric transfer of information because one hemisphere is presented with the stimulus that the other hemisphere has to use to correctly respond. The uncrossed conditions (a and b) do not require this transfer because both the stimulus and response are lateralized to the same hemisphere. The difference in performance between uncrossed and crossed conditions (CUD: crossed– uncrossed difference) can be measured in terms of time and/or accuracy. In theory, if perfect communication were to occur, there should be no difference between the crossed and uncrossed conditions. In reality, adult subjects exhibit a loss of accuracy ranging from 0 to 10% [19,20]. On the other hand, in patients with a complete disconnection (such as split-brain subjects), the CUD varies between 70 and 80%, i.e. performance reaches the level expected from a random response (which corresponds to 25%), while in patients with partial commissurotomy, performance depends on the extent and site of the callosal section [21- 24]. Ultimately, clinical and experimental data confirm that the degree of the loss of accuracy in the crossed condition (i.e. CUD) is inversely proportional to the transfer efficiency and that fingertip cross-localization task is a reliable measure of the ability of the CC to transfer information between the two cerebral hemispheres [20,25,26].

In this study, the fingertip cross-localization task was employed to examine the hypothesis that the interhemispheric transfer process is less efficient in individuals with DS. To this end, the performance of subjects with DS was compared with the performance of three control groups: healthy subjects of the same chronological age, healthy subjects of the same mental age, and subjects with intellectual disability of a similar degree but not attributable to DS.

MATERIALS AND METHODS

Subjects

Eleven individuals, diagnosed with Down’s syndrome, living in residential care center for people with intellectual disabilities in Perugia, Italy, were selected as participants in this study according to the following criteria: male gender, right-handedness, sufficient sensorimotor skills to perform the task, and adequate cognitive level to cooperate with the examiner. Handedness was examined using the Edinburgh Inventory and intellectual level was tested using Raven’s Colored Progressive Matrices (RPM); to be eligible for the study, a subject had to perform at least seven tasks on the manual dexterity questionnaire with its right hand and to achieve a score of at least 12 points on the RPM [27,28].

Based on these same criteria, eleven subjects with intellectual disability that were not due to Down’s syndrome or to other genetic abnormalities (NDS subjects), were selected from the same residential care center. Subjects with focal brain lesions documented by CT and/or MRI, epileptic seizures, treatment with psychotropic drugs, were excluded.

Additionally, two groups of healthy subjects were examined. One of these groups was comparable in chronological age (HCa subjects), while the other was comparable according to intellectual level (HCc subjects). As a result, compared to individuals with DS, age-selected subjects presented a higher RPM score, whereas those selected on the basis of their RPM score had a lower chronological age.

None of the 48 study subjects had to undergo additional medical investigations; clinical information was obtained from the medical records of the residential center and the clinical interview of the control subjects and parents of the children examined.

Table 1 shows the main characteristics of the four groups of subjects participating in the study.

Table 1: Main characteristics of the study participants.

DS = subjects with Down’s syndrome; HCa = healthy control subjects with comparable chronological age; HCc = healthy control subjects with comparable mental age; NDS = subjects with intellectual disability not due to Down’s syndrome; RPM = Raven Coloured Progressive Matrices (maximum score = 36)

Procedure

The subjects were seated with their arms resting on a table and their hands placed facing each other, thumbs up. They looked at a blank screen so that their hands were out of view. The experimenter touched the tip of one of the four fingers with the pencil tip and asked the subject to then touch the same finger with the thumb of the same hand (uncrossed condition) or the corresponding finger of the other hand with the thumb of that opposite hand (crossed condition). The task was first demonstrated with the subject’s hand in full view until he understood what was required.

Ninety-six trials were performed, in series of twenty- four for each hand/task combination (right-to-right, right-to-left, left-to-left, and left-to-right). The sequences of trials for each condition were different. Each finger was stimulated the same number of times (12 times each for the four hand/task conditions). Subjects responded immediately after stimulation, and the examiner recorded each response on his/her answer sheet. No feedback was given concerning the accuracy of performance. All subjects first performed the trials of the uncrossed condition and then the trials of the crossed condition. The choice of hand on which the stimulation was performed was counterbalanced in all subjects.

The score was based on the number of correct responses (with 48 as the maximum value for each condition). The CUD (difference in the overall number of errors between uncrossed and crossed tasks) was calculated by using the following formula: (uncrossed test on the right hand − crossed test on the right hand) + (uncrossed test on the left hand − crossed test on the left hand).

Statistical analysis

A mixed ANOVA with Group [DS individuals, healthy controls compared for chronological age (HCa), healthy controls compared for intellectual level (HCc), individuals with intellectual disability not due to DS (NDS)] as the between factor and Hand (right vs. left) and Condition (uncrossed-hand vs. crossed-hand) as repeated measures was run using the number of correct responses.

RESULTS

Table 2 shows the percentage point obtained in each combination of hand/task by the four groups of subjects.

Table 2: Fingertip cross-localization task: mean correct scores (%) for each hand condition.

DS = subjects with Down’s syndrome; HCa = healthy control subjects with comparable chronological age; HCc = healthy control subjects with comparable intellectual level; NDS = subjects with intellectual disability not due to Down’s syndrome; df = difference between crossed and uncrossed tasks.

Hand

 

right

left

both

Condition

 

UC

CR

df

UC

CR

df

UC

CR

df

DS

Mean

87.1

46.4

40.7

89

43.9

45.1

88

45.2

42.9

SD

5.9

16.9

11

7.4

14.8

7.4

6.6

15.8

9.2

HCa

Mean

99.3

94.8

4.5

98.2

95.3

2.9

98.8

95.1

3.7

SD

13

7

5.7

2.7

4.5

2.3

1.7

5.7

4

HCc

Mean

98.7

79.2

19.5

98.7

82.7

16

98.7

80.9

17.8

SD

1.6

9.7

8.1

1.8

7.3

5.5

1.7

8.5

6.8

NDS

Mean

87.9

56.4

31.5

88.8

53.8

35

88.3

55.1

32.2

SD

6.7

12.3

5.6

7.5

13.9

6.4

7.1

13.1

6

There were a significant effect of the factors related to group [F(3,176)=131.1, p<0.0001], and task [F(1,176)=341.2, p<0.0001], and of the interaction between group and task [F(3,176)=46.9, p<0.0001]. The four groups differed significantly from each other in terms of the number of correct answers (DS=66.6, HCa=96.9, HCc=89.8, NDS=71.7). Post hoc analyses demonstrated the difference between the groups [DS vs HCa: F(1,94)=292.8, p<0.0001; DS vs HCc: F(1,94)=171.5, p<0.0001; DS vs NDS: F(1,86)=8.9, p<0.003; NDS vs HCa: F(1,94)=195.7, p<0.0001; NDS vs HCc: F(1,94)=99.5, p<0.0001; HCa vs HCc: F(1,102)=17.6, p<0.0001).

The crossed task was significantly different from the uncrossed task, regardless of which hand was used (uncrossed task = 93.7, crossed task = 70.1; F(1,190)=379.1, p<0.0001).

The task-group interaction indicated that the four groups differed from each other in relation to the scores obtained (Figure 1).

Figure 1 Hand/task interaction: The four groups of subjects differ from each other in terms of the scores obtained in the crossed and uncrossed tasks of the fingertip localization test. DS = subjects with Down’s syndrome; HCa = healthy control subjects with comparable chronological age; HCc = healthy control subjects with comparable mental age; NDS = subjects with intellectual disability not due to genetic abnormalities.

Figure 1: Hand/task interaction: The four groups of subjects differ from each other in terms of the scores obtained in the crossed and uncrossed tasks of the fingertip localization test. DS = subjects with Down’s syndrome; HCa = healthy control subjects with comparable chronological age; HCc = healthy control subjects with comparable mental age; NDS = subjects with intellectual disability not due to genetic abnormalities.

Crossed and uncrossed tasks present different difficulties for the four groups: the loss of accuracy was 42.9% for DS, 3.7% for HCa, 17.8% for HCc and 33.3% for NDS.

DISCUSSION

Our study attempted to evaluate the efficiency of interhemispheric communication in individuals with Down’s syndrome, as measured by the fingertip cross- localization task. Firstly, it is worth mentioning that this task has proven to be a reliable behavioral index of the functional effectiveness of interhemispheric communication. Since the scores obtained from the crossed test were significantly lower than the scores obtained from the uncrossed test, regardless of the hand used, the experimental paradigm suggests that the transfer of information from one hemisphere to the other implies a significant loss of accuracy. As documented in previous literature [17-26], transferring information between hemispheres involves a significant reduction in accuracy; therefore, the degree of difference between the uncrossed and crossed conditions can be considered an adequate measure of the functional efficiency of information transfer processes.

The main result of our study reveals that DS individuals exhibit considerable challenges in the tactile cross- localization task, suggesting a potential dysfunction in communication between the hemispheres. From this perspective, the behavior of these individuals can be likened to the interhemispheric disconnection syndrome of split- brain subjects that have undergone partial callosotomy [29,30]. In fact, DS subjects seem to correctly utilize just slightly more than half (57.1%) of the information coming from the contralateral hemisphere. Moreover, they show a significantly lower performance than all other participants: whereas the loss of accuracy in DS corresponds to 42.9, in healthy adult controls, it is 3.7%, in healthy children, it is 17.8% and in NDS, it is 33.3%.

Since control subjects with comparable chronological age had a much higher RPM score, subjects with an equivalent intellectual level were also examined, but the results showed that the efficiency of interhemispheric communication in Down syndrome is also lower than would be expected with regard to intellectual level. One has to consider that the callosal efficiency develops with age and that the typical performance of adult subjects is reached between the age of 10 and 13 [20,25]; according to data available in the literature, the degree of accuracy equivalent to the score obtained by DS is observed in healthy control subjects who are 4 years old [25,31,32]. Thus, in DS individuals, there does not appear to be a direct relationship between the degree of maturation of the interhemispheric commissures and intellectual level, as measured by RPM [33,34]. This lack of relationship between overall cognitive efficiency and CC dysfunction could suggest the existence of some compensatory mechanisms capable of overcoming the limitations imposed by imperfect communication between the two cerebral hemispheres. In this regard, agenesis of the CC could represent a useful model [29,35]: it is known that these individuals can present extremely variable intellectual development ranging from values in the normal range to scores indicating severe intellectual disability, and it has been theorized that this wide variability could be due precisely to the functional efficiency of compensation mechanisms [36-38]. These findings therefore suggest that alterations in the normal development of the CC and thus in the processes of hemispheric lateralization may only partially contribute to the cognitive deficits typical of DS [39]. On the other hand, the partial disconnection syndrome could also merely be an epiphenomenon of other factors involved in the genesis of intellectual disability.

Furthermore, although both DS and NDS subjects appear to be characterized by a deficit in the capacity to transfer information, our study also shows that there is a significant difference between these two groups. Callosal function appears to be especially compromised in DS subjects. One possible interpretation could be offered by the criteria used for selecting the sample examined. That is, it can be hypothesized that the presence of a callosal disconnection is not a constant characteristic among subjects with intellectual disability and that there are pathologies that lead to intellectual disability without presenting any impairment of callous dysfunction. In this light, neuroimaging studies comparing subjects with DS and with William syndrome have indeed led to these conclusions [40,41]. It is likely that, although not specific to DS, callosal dysfunction may be one of its salient features, whereas the degree of its impairment may be variable in other clinical conditions characterized by intellectual disability.

Nevertheless, it is imperative to recognize that the findings of our study cannot be generalized. Firstly, it is important to bear in mind that our population comprises only right-handed male individuals and that there is no agreement as to how these individual variables intervene in determining the pattern of cerebral organization [42,43]. Secondly, it is worthwhile to state explicitly that the demonstration of a deficit in the transfer of tactile information does not imply that there also exist deficits in the other functions carried out by the cerebral commissures. There is sufficient anatomical and physiological evidence to state that the CC is composed of several functionally distinct sub-units [44,45]. The maturation process of each of these functional sub-units occurs in different ways and according to different time frames [4,8]. Consequently, the use of different instruments to measure callosal function could lead to different results than the ones we obtained in our study [46,47]. In more general terms, it is important to consider that the CC is made up of nerve fibers that differ greatly in terms of type, caliber and myelination; so, the relationship between the anatomical and functional aspects of the CC cannot be established with certainty: for example, a larger size of the CC could indicate either greater or lesser interhemispheric connectivity, depending on the inhibitory or facilitatory function of its fibers [48].

Finally, a comment deserves the lower efficiency of DS and NDS in the uncrossed task compared to healthy controls. This could also suggest a functional alteration of the parietal structures, which are thought to be responsible for the ability to perform the tactile localization task [23]. In any case, the determining factor as far as this study is concerned seems to be represented by the existence of a significant difference between the uncrossed and crossed tasks. Therefore, even the possible presence of a parietal dysfunction would not change the interpretation of our data.

CONCLUSION

In conclusion, the results of our investigation suggest that DS subjects present a severe functional deficit of the corpus callosum. It is plausible to hypothesize that these defects of interhemispheric communication contribute to the cognitive anomalies of the syndrome [33,34]. However, further investigations are needed to gain a better understanding of the relationships between the etiopathogenesis of intellectual disability, the morphological and functional characteristics of the corpus callosum and individual cognitive and behavioral profiles. Specifically, it might be useful to establish whether similar interhemispheric anomalies are also present in individuals with a higher intellectual level than those analyzed in our sample [49-51]. Furthermore, an adequate recognition of the role of callosal dysfunction could inform specific rehabilitation strategies for subjects with intellectual disability.

ACKNOWLEDGEMENT

The authors would like to thank the staff of the Sereni Rehabilitation Centre in Perugia for their assistance and cooperation in conducting this study.

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Piccirilli M, D’Alessandro P (2025) Interhemispheric Transfer of Tactile Information in Individuals with Down’s syndrome. J Neurol Disord Stroke 12(1): 1233.

Received : 05 Nov 2024
Accepted : 27 Feb 2025
Published : 03 Mar 2025
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JSM Pediatric Surgery
ISSN : 2578-3149
Launched : 2017
Journal of Memory Disorder and Rehabilitation
ISSN : 2578-319X
Launched : 2016
JSM Tropical Medicine and Research
ISSN : 2578-3165
Launched : 2016
JSM Head and Face Medicine
ISSN : 2578-3793
Launched : 2016
JSM Cardiothoracic Surgery
ISSN : 2573-1297
Launched : 2016
JSM Bone and Joint Diseases
ISSN : 2578-3351
Launched : 2017
JSM Bioavailability and Bioequivalence
ISSN : 2641-7812
Launched : 2017
JSM Atherosclerosis
ISSN : 2573-1270
Launched : 2016
Journal of Genitourinary Disorders
ISSN : 2641-7790
Launched : 2017
Journal of Fractures and Sprains
ISSN : 2578-3831
Launched : 2016
Journal of Autism and Epilepsy
ISSN : 2641-7774
Launched : 2016
Annals of Marine Biology and Research
ISSN : 2573-105X
Launched : 2014
JSM Health Education & Primary Health Care
ISSN : 2578-3777
Launched : 2016
JSM Communication Disorders
ISSN : 2578-3807
Launched : 2016
Annals of Musculoskeletal Disorders
ISSN : 2578-3599
Launched : 2016
Annals of Virology and Research
ISSN : 2573-1122
Launched : 2014
JSM Renal Medicine
ISSN : 2573-1637
Launched : 2016
Journal of Muscle Health
ISSN : 2578-3823
Launched : 2016
JSM Genetics and Genomics
ISSN : 2334-1823
Launched : 2013
JSM Anxiety and Depression
ISSN : 2475-9139
Launched : 2016
Clinical Journal of Heart Diseases
ISSN : 2641-7766
Launched : 2016
Annals of Medicinal Chemistry and Research
ISSN : 2378-9336
Launched : 2014
JSM Pain and Management
ISSN : 2578-3378
Launched : 2016
JSM Women's Health
ISSN : 2578-3696
Launched : 2016
Clinical Research in HIV or AIDS
ISSN : 2374-0094
Launched : 2013
Journal of Endocrinology, Diabetes and Obesity
ISSN : 2333-6692
Launched : 2013
Journal of Substance Abuse and Alcoholism
ISSN : 2373-9363
Launched : 2013
JSM Neurosurgery and Spine
ISSN : 2373-9479
Launched : 2013
Journal of Liver and Clinical Research
ISSN : 2379-0830
Launched : 2014
Journal of Drug Design and Research
ISSN : 2379-089X
Launched : 2014
JSM Clinical Oncology and Research
ISSN : 2373-938X
Launched : 2013
JSM Bioinformatics, Genomics and Proteomics
ISSN : 2576-1102
Launched : 2014
JSM Chemistry
ISSN : 2334-1831
Launched : 2013
Journal of Trauma and Care
ISSN : 2573-1246
Launched : 2014
JSM Surgical Oncology and Research
ISSN : 2578-3688
Launched : 2016
Annals of Food Processing and Preservation
ISSN : 2573-1033
Launched : 2016
Journal of Radiology and Radiation Therapy
ISSN : 2333-7095
Launched : 2013
JSM Physical Medicine and Rehabilitation
ISSN : 2578-3572
Launched : 2016
Annals of Clinical Pathology
ISSN : 2373-9282
Launched : 2013
Annals of Cardiovascular Diseases
ISSN : 2641-7731
Launched : 2016
Journal of Behavior
ISSN : 2576-0076
Launched : 2016
Annals of Clinical and Experimental Metabolism
ISSN : 2572-2492
Launched : 2016
Clinical Research in Infectious Diseases
ISSN : 2379-0636
Launched : 2013
JSM Microbiology
ISSN : 2333-6455
Launched : 2013
Journal of Urology and Research
ISSN : 2379-951X
Launched : 2014
Journal of Family Medicine and Community Health
ISSN : 2379-0547
Launched : 2013
Annals of Pregnancy and Care
ISSN : 2578-336X
Launched : 2017
JSM Cell and Developmental Biology
ISSN : 2379-061X
Launched : 2013
Annals of Aquaculture and Research
ISSN : 2379-0881
Launched : 2014
Clinical Research in Pulmonology
ISSN : 2333-6625
Launched : 2013
Journal of Immunology and Clinical Research
ISSN : 2333-6714
Launched : 2013
Annals of Forensic Research and Analysis
ISSN : 2378-9476
Launched : 2014
JSM Biochemistry and Molecular Biology
ISSN : 2333-7109
Launched : 2013
Annals of Breast Cancer Research
ISSN : 2641-7685
Launched : 2016
Annals of Gerontology and Geriatric Research
ISSN : 2378-9409
Launched : 2014
Journal of Sleep Medicine and Disorders
ISSN : 2379-0822
Launched : 2014
JSM Burns and Trauma
ISSN : 2475-9406
Launched : 2016
Chemical Engineering and Process Techniques
ISSN : 2333-6633
Launched : 2013
Annals of Clinical Cytology and Pathology
ISSN : 2475-9430
Launched : 2014
JSM Allergy and Asthma
ISSN : 2573-1254
Launched : 2016
Annals of Sports Medicine and Research
ISSN : 2379-0571
Launched : 2014
JSM Sexual Medicine
ISSN : 2578-3718
Launched : 2016
Annals of Vascular Medicine and Research
ISSN : 2378-9344
Launched : 2014
JSM Biotechnology and Biomedical Engineering
ISSN : 2333-7117
Launched : 2013
Journal of Hematology and Transfusion
ISSN : 2333-6684
Launched : 2013
JSM Environmental Science and Ecology
ISSN : 2333-7141
Launched : 2013
Journal of Cardiology and Clinical Research
ISSN : 2333-6676
Launched : 2013
JSM Nanotechnology and Nanomedicine
ISSN : 2334-1815
Launched : 2013
Journal of Ear, Nose and Throat Disorders
ISSN : 2475-9473
Launched : 2016
JSM Ophthalmology
ISSN : 2333-6447
Launched : 2013
Journal of Pharmacology and Clinical Toxicology
ISSN : 2333-7079
Launched : 2013
Annals of Psychiatry and Mental Health
ISSN : 2374-0124
Launched : 2013
Medical Journal of Obstetrics and Gynecology
ISSN : 2333-6439
Launched : 2013
Annals of Pediatrics and Child Health
ISSN : 2373-9312
Launched : 2013
JSM Clinical Pharmaceutics
ISSN : 2379-9498
Launched : 2014
JSM Foot and Ankle
ISSN : 2475-9112
Launched : 2016
JSM Alzheimer's Disease and Related Dementia
ISSN : 2378-9565
Launched : 2014
Journal of Addiction Medicine and Therapy
ISSN : 2333-665X
Launched : 2013
Journal of Veterinary Medicine and Research
ISSN : 2378-931X
Launched : 2013
Annals of Public Health and Research
ISSN : 2378-9328
Launched : 2014
Annals of Orthopedics and Rheumatology
ISSN : 2373-9290
Launched : 2013
Journal of Clinical Nephrology and Research
ISSN : 2379-0652
Launched : 2014
Annals of Community Medicine and Practice
ISSN : 2475-9465
Launched : 2014
Annals of Biometrics and Biostatistics
ISSN : 2374-0116
Launched : 2013
JSM Clinical Case Reports
ISSN : 2373-9819
Launched : 2013
Journal of Cancer Biology and Research
ISSN : 2373-9436
Launched : 2013
Journal of Surgery and Transplantation Science
ISSN : 2379-0911
Launched : 2013
Journal of Dermatology and Clinical Research
ISSN : 2373-9371
Launched : 2013
JSM Gastroenterology and Hepatology
ISSN : 2373-9487
Launched : 2013
Annals of Nursing and Practice
ISSN : 2379-9501
Launched : 2014
JSM Dentistry
ISSN : 2333-7133
Launched : 2013
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