In fact quite a lot; it is something pwMS should take note of.
Alexithymia is a personality trait that can be found in more than half of pwMS. The study below and other data show that alexithymia is associated with MS-related fatigue. Alexithymia can be assessed using a questionnaire. You can complete an alexithymia screening tool online. You can also assess your levels of MS-related fatigue using the online Modified Fatigue Impact Scale (MFIS) calculator. I would be interested to see if we can confirm these results.
The questions that need to be asked is alexithymia irreversible; or is it potentially reversible as has been shown with other cognitive impairments in MS? Is there a specific part of the brain where a single lesion can cause alexithymia; in other words can a single MS lesion in a strategic area cause alexithymia as part of a relapse?
Alexithymia is associated with damage to the limbic system and cortical areas of the left hemisphere including the anterior cingulate, inferior, middle, and superior frontal regions, insula, and supplementary motor areas. It appears that alexithymia is another cognitive symptom that is associated with MS-related damage. Therefore, to prevent developing alexithymia we need to treat MS early and effectively; i.e. to turn off the shredder before it causes irreversible damage.
Chalah et al. Neurophysiological, radiological and neuropsychological evaluation of fatigue in multiple sclerosis. Mult Scler Relat Disord. 2018 Dec 21;28:145-152.
METHODS: Fatigued (n = 21) and non-fatigued (n = 17) MS patients were enrolled based on the Modified Fatigue Impact Scale. They underwent clinical (disability score and disease duration), neuropsychological (scales of depression, anxiety, alexithymia, sleep, and Symbol Digit Modalities Test), neurophysiological (corticospinal excitability measures using transcranial magnetic stimulation), and radiological (volume-based morphometric magnetic resonance imaging) evaluations. The normality of data distribution was studied by the Kolmogorov-Smirnov test. Group comparison was performed using the Mann-Whitney or Student t test (quantitative data) and the exact Fisher’s test (qualitative data). Correlation analysis was done using Pearson and Spearman tests.
RESULTS: Fatigued patients had higher depression (p = 0.02), anxiety (p = 0.02) and alexithymia (p = 0.04) scores compared to non-fatigued patients. On the neurophysiological and radiological evaluations, they also had higher short-interval intracortical inhibition (p = 0.04), larger caudate nuclei (p ≤ 0.01) and smaller left parietal cortex (p = 0.01). These findings were in line with the correlation analyses results.
CONCLUSION: The neuropsychological findings suggest common underlying mechanisms as well as bi-directional relationships between fatigue and each of anxiety, depression, and alexithymia. The neurophysiological findings may reflect maladaptive neuroplasticity processes and an aberrant GABAergic transmission in the generation of fatigue. The radiological findings could be interpreted in the light of the ‘dysfunctional hypertrophy’ or ‘compensatory hypertrophy’ hypotheses.