H. Joly

Dr. H. Joly

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Research Focus & Metrics

Academic Career Length

14Years (2013-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 May 2020 in Multiple Sclerosis and Related Disorders
Verified
Journal Article
Closed access
KPK. Polet
K. Polet
SHS. Hesse
S. Hesse
MCMikael Cohen
Mikael Cohen
AMA. Morisot
A. Morisot
HJH. Joly
H. Joly
CLC. Lebrun-Frenay
C. Lebrun-Frenay


1 March 2021 in Revue Neurologique
Verified
Journal Article
Closed access
NCN. Capet
N. Capet
HJH. Joly
H. Joly
CSC. Suply
C. Suply
LML. Mondot
L. Mondot
MCMikael Cohen
Mikael Cohen
CLC. Lebrun-Frenay
C. Lebrun-Frenay

1 August 2014 in Revue Neurologique
Verified
Journal Article
Closed access
HJH. Joly
H. Joly
MCM. Cohen
M. Cohen
CLC. Lebrun
C. Lebrun

23 September 2024 in Multiple Sclerosis and Related Disorders
Verified
Journal Article
Open access
HJH. Joly
H. Joly
EGEmilie Gerbier
Emilie Gerbier
MZMargaux Zerlini
Margaux Zerlini
RFRoxane Fabre
Roxane Fabre
CLCassandre Landes-Château
Cassandre Landes-Château
CLChristine Lebrun-Frenay
Christine Lebrun-Frenay
Alexithymia refers to difficulty identifying (DIF) and describing (DDF) feelings and externally oriented thinking (EOT). Its prevalence remains unknown in the radiologically isolated syndrome (RIS), the preclinical multiple sclerosis (MS) phase. Alexithymia was measured with the Toronto Alexithymia Scale (TAS-20) in 29 RIS and age and gender-matched healthy controls and relapsing-remitting (RR) MS with an EDSS <3. All participants completed evaluations of cognition (BCCOG-SEP), depression (Fast-BDI), fatigue (EMIF), and quality of life (SEP-59). The level of alexithymia was significantly different between the three groups, with the higher score in the RRMS group (mean score of 54.5, SD: 12,3) compared to RIS (mean score of 47.2, SD: 14.8) and in healthy controls (mean score of 41.9, SD:12.8). 34 % of RIS participants showed a pathological level of alexithymia. The proportions were 21.7 % in the healthy controls and 51.7 % in the RRMS-matched groups. The difference was mainly significant for the DIF factor, p<.001. No significant correlations were observed between alexithymia and the different measures of cognition. In the RIS group, alexithymia was strongly linked to the levels of depression and cognitive fatigue. Furthermore, alexithymia was related to decreased mental quality of life. The study revealed that one-third of subjects with radiologically isolated syndrome show signs of alexithymia. Interestingly, no cognitive measure was found to be correlated with the level of alexithymia, which is consistent with previous research findings. Alexithymia and mainly difficulty identifying feelings in RIS are associated with depression but also relate to cognitive fatigue and reduced mental quality of life. This could impact the daily interactions of RIS subjects.

25 November 2014 in Neurology and Therapy
Verified
Journal Article
Open access
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MLMuriel Laffon
Muriel Laffon
GMGrégoire Malandain
Grégoire Malandain
HJH. Joly
H. Joly
MCMikael Cohen
Mikael Cohen
CLChristine Lebrun
Christine Lebrun
Introduction Cognitive impairment in multiple sclerosis (MS) is common even in the early stages of the disease. Our objective was to improve early detection of cognitive impairment in MS. Methods Seventy-five patients with relapsing remitting (RR) MS and 20 controls were enrolled. Two RRMS groups were defined according to their results at the Paced Auditory Serial Addition Test (PASAT). Patients with a z score below two standard deviations were considered impaired. We quantified T2 and T1 lesion volumes, and cerebral white and grey matter volumes on a conventional brain magnetic resonance imaging (MRI) scan. Global brain atrophy was evaluated using the third ventricle (V3) width (in mm). An average brain model was built based on controls and compared with the patient’s MRI to quantify regional volumetric changes. Results Sixteen (21.3%) patients with RRMS had low PASAT performance. They had a higher Expanded Disability Status Scale (EDSS) score (P = 0.019). T2 and T1 lesion volumes, and grey and white matter volumes were the same in both groups. An enlargement of the V3 width was observed in the low performer group (P = 0.044) and V3 width was correlated with the PASAT score (r = −0.271; P = 0.021). A composite score, named HV3, was obtained by adding the EDSS and V3 width (in mm) and correlated with the PASAT (r = −0.325; P = 0.006). A cutoff HV3 score of over 5.5 identified patients with low PASAT performance, with a positive predictive value of 92.5% and an accuracy of 70.1%. Focal atrophy was detected in the supplementary motor area, the cingulate gyrus, the right thalamus, and the inferior parietal lobules of patients with lower PASAT performance. Conclusion Specific brain morphological changes, including an enlargement of the V3 width, are associated with low PASAT performance in patients with RRMS. The HV3 score is an additional and complementary tool, accessible in clinical practice, to suspect easily cognitive impairment in patients with RRMS and to better identify patients requiring a complete cognitive assessment.