Resting-state fMRI (rs-fMRI) is a widely used technique to investigate the residual brain functions of patients with Disorders of Consciousness (DoC). Nonetheless, it is unclear how the networks that are more associated with primary functions, such as the sensory–motor, medial/lateral visual and auditory networks, contribute to clinical assessment. In this study, we examined the rs-fMRI lower-order networks alongside their structural MRI data to clarify the corresponding association with clinical assessment. We studied 109 chronic patients with DoC and emerged from DoC with structural MRI and rs-fMRI: 65 in vegetative state/unresponsive wakefulness state (VS/UWS), 34 in minimally conscious state (MCS) and 10 with severe disability. rs-fMRI data were analyzed with independent component analyses and seed-based analyses, in relation to structural MRI and clinical data. The results showed that VS/UWS had fewer networks than MCS patients and the rs-fMRI activity in each network was decreased. Visual networks were correlated to the clinical status, and in cases where no clinical response occurred, rs-fMRI indicated distinctive networks conveying information in a similar way to other techniques. The information provided by single networks was limited, whereas the four networks together yielded better classification results, particularly when the model included rs-fMRI and structural MRI data (AUC = 0.80). Both quantitative and qualitative rs-fMRI analyses yielded converging results; vascular etiology might confound the results, and disease duration generally reduced the number of networks observed. The lower-order rs-fMRI networks could be used clinically to support and corroborate visual function assessments in DoC.

Aim: When studying brain networks in patients with Disorders of Consciousness (DoC), it is important to evaluate the structural integrity of networks in addition to their functional activity. Here, we investigated whether structural MRI, together with clinical variables, can be useful for diagnostic purposes and whether a quantitative analysis is feasible in a group of chronic DoC patients.Methods: We studied 109 chronic patients with DoC and emerged from DoC with structural MRI: 65 in vegetative state/unresponsive wakefulness state (VS/UWS), 34 in minimally conscious state (MCS), and 10 with severe disability. MRI data were analyzed through qualitative and quantitative approaches.Results: The qualitative MRI analysis outperformed the quantitative one, which resulted to be hardly feasible in chronic DoC patients. The results of the qualitative approach showed that the structural integrity of HighOrder networks, altogether, had better diagnostic accuracy than LowOrder networks, particularly when the model included clinical variables (AUC = 0.83). Diagnostic differences between VS/UWS and MCS were stronger in anoxic etiology than vascular and traumatic etiology. MRI data of all LowOrder and HighOrder networks correlated with the clinical score. The integrity of the left hemisphere was associated with a better clinical status.Conclusions: Structural integrity of brain networks is sensitive to clinical severity. When patients are chronic, the qualitative analysis of MRI data is indicated.

Objective: Spinal cord degeneration is a hallmark of amyotrophic lateral sclerosis. The assessment of gray matter and white matter cervical spinal cord atrophy across clinical stages defined using the King's staging system could advance the understanding of amyotrophic lateral sclerosis progression.Methods: We assessed the in vivo spatial pattern of gray and white matter atrophy along cervical spinal cord (C2 to C6 segments) using 2D phase‐sensitive inversion recovery imaging in a cohort of 44 amyotrophic lateral sclerosis patients, evaluating its change across the King's stages and the correlation with disability scored by the amyotrophic lateral sclerosis functional rating scale revised (ALSFRS‐R) and disease duration. A mathematical model inferring the potential onset of cervical gray matter atrophy was developed.Results: In amyotrophic lateral sclerosis patients at King's stage 1, significant cervical spinal cord alterations were mainly identified in gray matter, whereas they involved both gray and white matter in patients at King's stage ≥ 2. Gray and white matter areas correlated with clinical disability at all cervical segments. C3–C4 level was the segment showing early gray matter atrophy starting about 7 to 20 months before symptom onset according to our model.Interpretation: Our findings suggest that cervical spinal cord atrophy spreads from gray to white matter across King's stages in amyotrophic lateral sclerosis, making spinal cord magnetic resonance imaging an in vivo assessment tool to measure the progression of the disease.

Background: Preserved resting‐state functional MRI (rs‐fMRI) networks are typically observed in Disorders of Consciousness (DOC). Despite the widespread use of rs‐fMRI in DOC, a systematic assessment of networks is needed to improve the interpretability of data in clinical practice. We investigated functional connectivity of the main networks, combining structural MRI to obtain a description of the most observed networks in DOC, their diagnostic ability, and whether they can be related to clinical assessment.Methods: A group of 109 chronic patients [65 vegetative state/unresponsive wakefulness state (VS/UWS), 34 minimally conscious state (MCS), and 10 emerged from MCS (eMCS)], with different etiologies, and 34 control subjects underwent multimodal assessment. Rs‐fMRI data were analyzed with a semi‐automatic pipeline to assess residual functional activity in terms of number, type, mean intensity, and structural preservation of networks.Results: The more networks observed, the better the patient's clinical condition is likely to be. VS/UWS patients display 0–9, MCS 5–9, and eMCS 8–10 networks. Both the presence and intensity of 5 networks (visual networks, temporal, left fronto‐parietal and default mode network) are relevant to distinguish VS/UWS from MCS, with AUCs of 0.64–0.69 (95% confidence interval). Etiology and disease duration have an impact on the number and type of preserved networks. High residual functional connectivity observed in VS/UWS patients, as in MCS, is in agreement with neurophysiological and metabolic evaluations.Conclusions: This systematic assessment of the main rs‐fMRI networks in DOC provides basic measures of functional connectivity that can enhance their interpretability in clinical practice.

Objective: In elderly people loneliness represents a risk factor for dementia and may negatively impact on mental and physical health. The specific contribute of loneliness to cognitive and behavioral functioning have not yet been determined in amyotrophic lateral sclerosis (ALS). Our hypothesis was that loneliness may be related to motor dysfunction with a negative impact on cognitive and behavioral decline, possibly related to specific cortical involvement.Methods: In 200 ALS patients (ALSpts) and 50 healthy controls (HCs) we measured loneliness, mood, and quality of life (QoL). ALSpts underwent comprehensive clinical, genetic, and neuropsychological assessment to define phenotypes. Seventy‐seven ALSpts performed 3T MRI scans to measure cortical thickness. Between‐group, partial correlation and regression analyses were used to examined clinical, neuropsychological, and cortical signatures of loneliness.Results: Feelings of loneliness were documented in 38% of ALSpts (ALS/L+pts) and in 47% of HCs. In both groups loneliness was associated with anxiety (P < 0.001), depression (P ≤ 0.005), and poor QoL (P < 0.001). ALS/L+pts had similar motor dysfunctions and cognitive abilities than non‐lonely ALSpts, but distinct behavioral profiles (P ≤ 0.005) and frontoparietal involvement (P < 0.05). Loneliness in ALS is related to behavioral changes, apathy, and emotional dysregulation (P < 0.001).Interpretation: Our cross‐sectional study indicates that, in ALS, the satisfaction of social environment is associated with a sense of life well‐being that is not limited to the motor status, proving instead that loneliness can impact on disease‐related neurobehavioral changes with a possible flashback on brain architecture. This suggests that sociality could promote personal resilience against behavioral and affective decline in ALS.

Background and purpose: Thalamic alterations have been reported as a major feature in presymptomatic and symptomatic patients carrying the C9orf72 mutation across the frontotemporal dementia–amyotrophic lateral sclerosis (ALS) spectrum. Specifically, the pulvinar, a high‐order thalamic nucleus and timekeeper for large‐scale cortical networks, has been hypothesized to be involved in C9orf72‐related neurodegenerative diseases. We investigated whether pulvinar volume can be useful for differential diagnosis in ALS C9orf72 mutation carriers and noncarriers and how underlying functional connectivity changes affect this region.Methods: We studied 19 ALS C9orf72 mutation carriers (ALSC9+) accurately matched with wild‐type ALS (ALSC9−) and ALS mimic (ALSmimic) patients using structural and resting‐state functional magnetic resonance imaging data. Pulvinar volume was computed using automatic segmentation. Seed‐to‐voxel functional connectivity analyses were performed using seeds from a pulvinar functional parcellation.Results: Pulvinar structural integrity had high discriminative values for ALSC9+ patients compared to ALSmimic (area under the curve [AUC] = 0.86) and ALSC9− (AUC = 0.77) patients, yielding a volume cutpoint of approximately 0.23%. Compared to ALSmimic, ALSC9− showed increased anterior, inferior, and lateral pulvinar connections with bilateral occipital–temporal–parietal regions, whereas ALSC9+ showed no differences. ALSC9+ patients when compared to ALSC9− patients showed reduced pulvinar–occipital connectivity for anterior and inferior pulvinar seeds.Conclusions: Pulvinar volume could be a differential biomarker closely related to the C9orf72 mutation. A pulvinar–cortical circuit dysfunction might play a critical role in disease progression and development, in both the genetic phenotype and ALS wild‐type patients.